Total 13 job vacancies by Lawnet Technology Services Pte. Ltd.

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION

Senior AI Solutions Architect

REPORTING STRUCTURE

The Senior AI Solutions Architect will report directly to the Chief Executive of LawNet Technology Services (LTS).

ABOUT THE ROLE

We are seeking an experienced technical manager to lead our engineering team. This team is responsible for the development of LTS AI products and management and optimisation of the platform supporting these developments. The role entails leading an engineering team towards the ongoing design, development and deployment of custom Large Language Models and the design and development of AI products that leverage these models.

RESPONSIBILITIES

• Develop and direct a high performing AI engineering team towards the deployment of scalable and reliable AI products for the legal sector.
• Design and deploy end-to-end solutions to support the reliable service of the AI products to endusers.
• Set, justify and present technical direction that is adaptable to continually evolving technological landscape.
• Collaborate closely with stakeholders, including senior management, senior legal professionals, academics, as well as other engineering teams within the local AI ecosystem.
• Coach engineering team to ensure their professional growth and technological development.

SKILLS AND QUALIFICATIONS

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Over 5 years of experience working as part of an AI/ML engineering team in a production environment, with at least 2 years in a leadership capacity.
• Proficiency in Python and AI/ML frameworks (e.g. PyTorch, Tensor Flow).
• Demonstrated experience in designing and developing scalable backend architectures.
• Familiarity with natural language data processing techniques, tools and libraries.
• Experience with containerization (Docker) and familiarity with orchestration techniques (Kubernetes).
• Experience deploying solutions on cloud platforms, preferably with cloud certification.
• Deep understanding and interest in LLM specific techniques, such as fine-tuning, prompt, engineering, LLM testing, and development of evaluation metrics, quantisation, PEFT.
• Excellent communication skills for conveying technical concepts to non-technical stakeholders.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION

MLOps Engineer

REPORTING STRUCTURE

The MLOps Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE

We are seeking an experienced MLOps Engineer specializing in large language models at LawNet Technology Services. You will be at the forefront of operationalizing and scaling our AI capabilities. This role demands a unique blend of skills in machine learning, software engineering, and cloud technologies to efficiently deploy, monitor, and manage our large language models in production. Your expertise will directly contribute to the reliability, efficiency, and scalability of our AI services.

RESPONSIBILITIES

• Design and implement robust MLOps pipelines tailored for large language models, ensuring seamless transition from development to production.
• Work closely with data scientists and AI researchers to automate and optimize the model training, fine-tuning, inference and evaluation processes for our large language models on cloud infrastructure.
• Ensure the LLM can be seamlessly integrated with the serving infrastructure managed by the software engineering team.
• Explore and implement techniques for continuous learning of the LLM as new user data becomes available.
• Develop and implement strategies for monitoring model performance (accuracy, latency, fairness) in production.
• Set up alerts and dashboards to proactively identify and troubleshoot potential issues with the LLM.
• Stay up-to-date on the latest advancements in MLOps tools and methodologies.
• Implement monitoring and logging systems to track model performance, resource utilization, and operational health, enabling proactive maintenance and optimization.
• Ensure compliance with data privacy and security protocols throughout the model lifecycle.
• Facilitate continuous integration and delivery (CI/CD) processes for machine learning models, incorporating automated testing and quality assurance practices.
• Collaborate with stakeholders to understand operational requirements and challenges, translating them into technical solutions that enhance our AI capabilities.
• Stay updated with the latest advancements in MLOps, cloud technologies, and large language model development, incorporating best practices to maintain our competitive edge.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Solid experience in MLOps, DevOps, or software engineering, with a specific focus on machine learning and large language models.
• Strong experience in building and managing machine learning pipelines.
• Proficiency in cloud computing platforms (AWS, GCP, Azure) and services related to machine learning and large-scale computing.
• Strong background in containerization and orchestration technologies (Docker, Kubernetes), as well as infrastructure as code (Terraform, CloudFormation).
• Demonstrated ability in programming with Python and experience with ML frameworks (TensorFlow, PyTorch, Hugging Face).
• Understanding of best practices for data security, privacy, and compliance in the context of AI and machine learning.
• Excellent problem-solving skills, with the ability to work in a fast-paced, evolving environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

ABOUT US
LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
AI/ML Engineer (Backend)

REPORTING STRUCTURE

The AI/ML Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an AI/ML Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a talented Software Engineer to join our team and be responsible for deploying, maintaining, and scaling the infrastructure that serves our custom LLMs for a variety of use cases.

RESPONSIBILITIES

• Design, develop, and implement highly scalable backend services on AWS to support efficient training and inference of our LLM.
• Keep abreast of developments in AWS or other services to manage the LLM training and inference operations.
• Develop and optimise APIs to facilitate communication between the LLM and frontend applications for user interaction with functionalities from a variety of use cases.
• Design and implement data pipelines for efficiently moving training data to and from the LLM training environment on AWS (e.g., S3 Buckets, EFS storage).
• Integrate containerization technologies like Docker and container orchestration platforms like Amazon Elastic Kubernetes Service (EKS) for managing the LLM inference environment.
• Configure and implement robust security practices within your backend services to protect the LLM and user data at rest and in transit.
• Develop and implement logging and monitoring solutions (e.g., CloudWatch Logs, CloudWatch Metrics) to track the health and performance of the backend infrastructure and the LLM.
• Collaborate with ML and Front Eng Engineers to understand their specific requirements for training and inference, and translate those needs into efficient backend solutions.
• Collaborate with MLOps Engineers to automate the deployment and management of backend services and the LLM.
• Stay up-to-date on the latest advancements in AWS services relevant to backend development and LLM infrastructure.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Familiarity with popular vector database platforms like Pinecone, Faiss, or Milvus would be beneficial.
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Experience with data pipelines and data processing tools on AWS (e.g. AWS Lambda).
• Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
NLP Engineer

REPORTING STRUCTURE

The NLP Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an NLP Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a skilled Data/NLP Engineer to join our team to develop and drive a data strategy to optimise model performance and manage the data pipelines for training and evaluating our custom LLMs.

RESPONSIBILITIES

• Work closely with domain experts to understand data sources, formats and structure.
• Collaborate with Machine Learning Engineers and MLOps Engineers to understand data requirements for LLM training and inference.
• Engage in data engineering tasks, including data collection, preprocessing, quality control and augmentation to ensure high-quality datasets for model training.
• Develop from scratch and fine-tune both traditional NLP and LLM models on LTS cloud infrastructure, optimizing for safety and performance (measurable via benchmarks)
• Collaborate with domain experts and carry out independent research to optimise and develop product evaluation suites to measure model and product performance.
• Explore and implement techniques for mitigating bias and ensuring fairness within the training data for the LLM.
• Lead in the development and implementation of strategies for data augmentation improve LLM performance.
• Collaborate with AI and MLOps Engineers to integrate NLP models into automated pipelines.
• Stay abreast of the latest NLP techniques and methodologies, experimenting with new models and approaches to maintain our competitive edge.
• Conduct rigorous testing and validation of NLP models to ensure robustness and reliability.
• Document and present model development processes, results, and insights to both technical and non-technical stakeholders.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

About Us

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

REPORTING STRUCTURE

The Assistant Manager (LawNet Product Operations) will report to the Deputy Director (Product Management). You will oversee and ensure defined product releases of LawNet are on schedule.

KEY RESPONSIBILITIES

• Oversee and ensure defined product releases of LawNet are on schedule.
• Assist with analysis of internal and external stakeholders needs and desires by market research, surveys or user group testing.
• Support product ideation, technical development, product testing, launch, end-user training and rollout.
• Assist in the planning of product release plans with product managers and prepare artefacts for delivery of new functionalities to external stakeholders.
• Recommend new tools and processes within the product team to ensure adequate visibility for stakeholders on progress and enable an efficient product management practice.
• Embody and champion the product vision, roadmap and growth opportunities to the development teams and stakeholders.
• Analyze feedback from users and usage data to identify new opportunities or problems that the product should address.
• Play an active role in mitigating impediments impacting successful team completion of Release/Sprint Goals.
• Assist in the operational preparation of user feedback sessions and support the synthesis efforts.
• Evaluate release risk and provide advice and guidance to stakeholders and business units.
• Complete product operational activities by scheduling and coordinating within the product team and internal stakeholders; and following up on work results.
• Create relevant product documentation for stakeholders’ reference.
• Maintain professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies.
• Contribute to team effort by accomplishing related results as needed.

SKILLS AND QUALIFICATIONS

• At least Diploma in Information Technology / Business Management.
• Bachelor's Degree in Information Technology / Business Management is preferred.
• Experience in software product management, or as an associate product manager, with successes in (1) understanding the end-user and driving product adoption, and (2) delivering products on-time and defining product success metrics ensuring commercial relevance.
• Technical background with understanding and/or hands-on experience in software development and web technologies.
• Polished professionalism with outstanding strategic, organizational, planning (project & finances), communication, and problem-solving skills.
• Team player who is independent, resilient and resourceful.
• Comfortable working in a fast-paced and dynamic environment.
• Proven track record of exceeding KPIs.
• Proven ability to collaborate with internal and external stakeholders.
• Experience in liaising with government stakeholders and working with public sector systems is an advantage.
• Strong metrics and analytical orientation.
• Able to multi-task within tight deadlines.
• Excellent written and verbal English communication skills, with strong presentation skill.
• Background operating in Legal practice will be a plus.
• Proficient in the use of Microsoft Office applications (e.g. Excel, Word, PowerPoint, Outlook, SharePoint) and digitally proficient to learn the use of new tools.

The level of offer and appointment designation will be commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

You will:

• Be responsible for the cloud infrastructure in terms of: scalability, availability, performance, (cost & resource) efficiency, capacity planning.
• Spend lesser than 50% of the time working through our vendors in carrying out the day-to-day IT operation such as; performance monitoring, attending to issues, manual intervention and service requests (infrastructure provisioning, deployment, data/system backups, patching and disaster recovery).
• Be responsible for system administration tasks such as OS & application patching, software upgrades, backup, restore, etc. for our cloud infrastructure (AWS, Azure).
• Drive troubleshooting, incident response/ resolution and blameless post-mortems.
• Be responsible to maintain services once they go live by measuring and monitoring availability, performance, and overall system health.
• Strive to streamline and secure cloud infrastructure management by proactively monitoring and protecting system boundaries, application deployment and release status, automating manual tasks, and keeping systems secured.
• Spend most of the time on development tasks such as writing Infrastructure-as-Code (IaC), continuous improvement, and driving initiatives to improve automation, scalability and reliability.
• Develop automation code for change control, configuration management, deployment and maintenance of infrastructure and applications through CI/CD pipeline.
• Improve service resiliency through high levels of automation, to effectively detect/ predict/ prevent issues in the environment.
• Develop and fine-tune change & incident management processes across teams.
• Scale systems sustainably through mechanisms like automation; evolve systems by pushing for changes that improve reliability and velocity.
• Automate provisioning by IaC and Configuration-as-Code (CaC) and other tasks by serverless functions (e.g. AWS Lambda, Azure Functions).
• Review resource/ workload to optimise cost.

You have:

• At least a diploma in Computing/ Computer Studies/ Information Systems/ ICT or equivalent.
• To enjoy cloud, systems and security management, and relentlessly automating work.
• Related cloud experience attested by certifications in SysOps, DevOps (AWS preferred)
• At least 3 years of hands-on experience operating and maintaining systems running on Cloud infrastructure (AWS preferred).
• Familiarity with AWS IAM.
• Proven experience in various IaC (e.g. Cloudformation and Terraform) & CaC (e.g. Ansible) tools.
• Hands-on experience administering Unix & Windows operating systems as well as automating with shell scripts.
• Deep appreciation of infrastructure and application monitoring, logging, alerting, release and configuration management.
• Deep understanding in networking (e.g. HTTP/ TLS protocol, TCP/IP, routing tables, network topology, load balancers, DNS, NTP, Network VPC/ vNET Peering).
• Experience in standard IT security practices (e.g., encryption, certificates, key management, SSH).

You will catch our attention if you:

• Have proven experience in Site Reliability Engineering (SRE), DevSecOps practices and methodologies.
• Have experience in operating containerised workloads (using Docker / Docker Compose, Kubernetes).
• Have experience operating internet-facing 24/7 high-load applications (e.g. eCommerce).
• Have experience in administering WordPress Multisite and Bitnami systems

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

We are seeking a highly motivated and experienced Deputy Director, Technology Delivery to join our dynamic team. As a key member of our Engineering leadership, you will play a pivotal role in driving the design, development, and delivery of high-quality software applications. You will be responsible for leading and mentoring a team of talented developers, ensuring the timely delivery of projects, and fostering a culture of continuous improvement and high-quality code.

Responsibilities:

• Lead and manage a team of developers in the design, development, and deployment of software applications.
• Develop and implement technical strategies and roadmaps aligned with business objectives.
• Collaborate with cross-functional teams (e.g., product, business, marketing) to define product requirements and translate them into technical specifications.
• Drive continuous improvement by evaluating and adopting appropriate technologies, frameworks, testing, documentation, tools, and design models.
• Champion a culture of high-quality code through code reviews, test automation, and sharing best practices.
• Mentor and lead the development team, including conducting technical interviews, performance reviews, and developing training plans.
• Manage and prioritize the backlog of development tasks and ensure timely delivery of projects.
• Guide operations, development, and infrastructure teams to resolve support tickets efficiently and plan for relevant enhancements.
• Stay abreast of industry trends and technologies, actively seeking opportunities to improve our development process and product offerings.
• Communicate effectively with stakeholders at all levels, both technical and non-technical.

Our ideal candidate:

• Degree in Computer Science/Engineering / Information Systems or equivalent.
• 8+ years of hands-on experience with software application design, development, and support.
• 5+ years of experience leading local/remote/vendor teams in agile application development.
• Proven track record of driving successful project delivery and achieving business objectives.
• Demonstrated experience with software design and deployment, able to propose and evaluate application models and secure coding considerations.
• Experience with various data stores, including relational, document, no-SQL, Redis.
• In-depth knowledge of development best practices, including source control, code-review, pair-programming, CI/CD toolchain, and automated testing frameworks.
• Excellent communication, collaboration, and interpersonal skills.
• Strong leadership and mentoring abilities.
• Ability to work independently and as part of a team.
• Passion for innovation and a desire to constantly learn and improve.

About us

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

The LawNet team is looking for a Senior Software Engineer, join our agile team for the exciting and rewarding opportunity to work on products and services for the legal profession.

Responsibilities

• Design and develop performant, secure and maintainable web applications
• Continuously improve our systems - assess and adopt appropriate technology, frameworks, tools and design models
• Reinforce culture of continuous improvement and high-quality code through code reviews, test automation and sharing of best practices
• Support internal and remote cross-functional teams to deliver projects on time, stepping up to lead the team in design and development as needed

Skills and Qualifications

• 7 years hands-on Java development in Spring Boot, REST APIs and Hibernate.
• Experience implementing OATH2/OIDC-based Identity & Access Management systems.
• Good experience and intuition with cloud-native designs.
• Demonstrable experience with full SDLC for cloud-native apps.
• Good experience working in cross-functional teams, local and remote vendor.
• Familiarity with development best practices, including source control, code-review, pair-programming, CI/CD toolchain and automated testing framework.

About us

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

Responsibilities

• Builds great products that stakeholders love to use on time and within budgets assigned.
• Determines internal and external stakeholders needs and desires whether by market research, surveys or user group testing.
• Leads or participates in product ideation, technical development, product testing, launch, end user training and rollout.
• Recommends the nature and scope of present and future product lines by reviewing product specifications and requirements; appraising new product ideas and/or product or packaging changes.
• Leads or participates in the planning of product release plans and set the expectation for delivery of new functionalities.
• Defines product vision, roadmap and growth opportunities to the development teams and stakeholders.
• Plays an active role in mitigating impediments impacting successful team completion of Release/Sprint Goals.
• Establishes shared vision across organisations by partnering with key internal business stakeholders.
• Evaluates risk and provide advice and guidance to stakeholders and business units.
• Builds business cases for products and features, and analysing performance.
• Assesses market competition by comparing SAL’s products to competitors' products.
• Provides source data for product line communications by defining product marketing communication objectives.
• Obtains product market share by working with sales to develop product sales strategies.
• Assesses product market data by calling on customers with sales and evaluating sales call results.
• Provides information for management by preparing short-term and long-term product sales forecasts and special reports and analyses; answering questions and requests.
• Brings new products to market by analysing proposed product requirements and product development programs; preparing return-on-investment analyses; establishing time schedules with development teams.
• Introduces and markets new products by developing time-integrated plans with sales, marketing and development teams.
• Oversees change management and delivery of customer-facing services, including helpdesk and service bureaux services.
• Completes operational requirements by scheduling and assigning team members; following up on work results.
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies; on the job coaching.
• Contributes to team effort by accomplishing related results as needed.

Skills and Qualifications

• Proven track record in product management, or as an associate product manager, with successes in:

1. understanding the end-user and driving product adoption;
2. analysing end user requirements;
3. delivering products on-time and within budgets for internal / external stakeholders.

• Technical background with understanding and/or hands-on experience in software development and web technologies.
• Legal qualifications and experience in litigation and/or dispute resolution practice is an advantage.
• Polished professionalism with outstanding strategic, organizational, planning (project & finances), communication, and problem-solving skills.
• A team player.
• Comfortable working in a fast-paced and dynamic environment.
• Proven track record of exceeding KPIs.
• Proven ability to collaborate with internal and external stakeholders.
• Experience in liaising with government stakeholders and working with public sector systems is an advantage.
• Strong metrics and analytical orientation.
• Excellent written and verbal English communication skills, with strong presentation skill.

We are seeking an experienced technical manager to lead our engineering team. This team is responsible for the development of LTS AI products and management and optimisation of the platform supporting these developments. The role entails leading an engineering team towards the ongoing design, development and deployment of custom Large Language Models and the design and development of AI products that leverage these models.

Responsibilities

• Develop and direct a high performing AI engineering team towards the deployment of scalable and reliable AI products for the legal sector.
• Design and deploy end-to-end solutions to support the reliable service of the AI products to end-users.
• Set, justify and present technical direction that is adaptable to continually evolving technological landscape.
• Collaborate closely with stakeholders, including senior management, senior legal professionals, academics, as well as other engineering teams within the local AI ecosystem.
• Coach engineering team to ensure their professional growth and technological development.

Skills and Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Over 5 years of experience working as part of an AI/ML engineering team in a production environment, with at least 2 years in a leadership capacity.
• Proficiency in Python and AI/ML frameworks (e.g. PyTorch, Tensor Flow).
• Demonstrated experience in designing and developing scalable backend architectures.
• Familiarity with natural language data processing techniques, tools and libraries.
• Experience with containerization (Docker) and familiarity with orchestration techniques (Kubernetes).
• Experience deploying solutions on cloud platforms, preferably with cloud certification.
• Deep understanding and interest in LLM specific techniques, such as fine-tuning, prompt, engineering, LLM testing, and development of evaluation metrics, quantisation, PEFT.
• Excellent communication skills for conveying technical concepts to non-technical stakeholders.

The LawNet team is looking for an assistant manager for our business operations team, to help deliver an excellent experience for our customers. Our ideal candidate is customer-centric and experienced in managing business operations for similar digital services.

KEY RESPONSIBILITIES

(A) Business Operations & Reporting (LawNet)

• Provide backend guidance to customer service team to ensure timely and effective support for account management, feedback and other customer inquiries.
• Backend support to both internal and external teams in resolving customer support requests – including triage, prioritisation, coordinating teams and basic troubleshooting.
• Prepare business/usage reports for internal teams and customers.
• Support LawNet IT audit exercises – e.g., preparation of documentation, answering audit queries.
• Support user testing and change management e.g. for new content or features.
• Plan and lead regular review of processes and performance metrics, to guide internal teams in continuously improving product and support standards

(B) Procurement

• Review and process procurement requests promptly, following audit requirements.
• Assist internal stakeholders in the process of soliciting quotes from suppliers and generating purchase orders for them.
• Coordinate accurate and timely payments to suppliers.
• Maintain technology contracts register & support timely contract renewals.
• Regularly review procurement processes and propose improvements

(C) Administration and Secretariat Support

• Support business decisions by preparing routine and ad-hoc reports.
• Plan and organise monthly staff engagement activities.
• Provide secretarial support for company board meetings and townhalls, including scheduling, minute-taking and room arrangements.
• Assist in record keeping of company resolutions and staff circulars.
• Undertake any other operational task as assigned.

OUR IDEAL CANDIDATE

• At least a Diploma qualification.
• Minimum 2-years’ experience in an operations role within a professional customer service setting.
• Proficient in Microsoft Office Tools (Excel and Word).
• Good interpersonal and communication skills.
• Meticulous, systematic and process-oriented.
• Able to adapt and multi-task in a fast-paced environment.
• Demonstrable experience in analysing and improving work processes.

About us

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

YOU WILL:

• Plan, develop, automate, and execute test coverage across an entire range of services: web, API, data and platform.
• Work with the project/ engineering teams to create a test-driven engineering culture that drives measurable improvements in quality for various software products/ projects.
• Work with engineering, support and business owners to triage quality issues.
• Manage outsourced QA/ testing suppliers to deliver the desired outcome.
• Build test automation across all software products/ projects to ensure quality and reliability.
• Collaborate with development teams to integrate automated testing into the continuous integration/continuous deployment (CI/CD) pipeline.
• Develop plans to execute quality testing:

1. Identify suitable quality measures for testing based on product attributes valued most by users
2. Develop quality testing approaches and steps to satisfy test objectives
3. Develop comprehensive test plans outlining the testing scope, approach, resources, and schedule.

• Design tests:

1. Create test scenarios based on business requirements and project goals.
2. Work closely with business stakeholders to simulate real-world usage scenarios.
3. Create detailed and well-structured test cases based on functional and technical specifications.

• Execute quality testing:

1. Execute manual and automated tests to verify the functionality, reliability, and performance of software applications.
2. Implement automated test cases and codes for quality testing to enhance test efficiency and coverage.
3. Identify operating and usage conditions in which performance of quality measures drops.
   

YOU HAVE:

• A degree in Computer Science/ Studies/ Engineering or Information Systems or equivalent;
• Passion in software system quality and reliability.
• Experience designing, automating, and maintaining automation tests for acceptance, functional, and regression test cases.
• Experience creating test plans, implementing test automation, performance, and stress testing, implementing.
• Minimum 3 years of working experience as a Software Test Engineer or similar role.
• Proficiency in manual and automated testing techniques.
• Experience with test automation frameworks and tools (e.g., Selenium, JUnit, TestNG).
• Experience with performance testing tools (e.g., JMeter, LoadRunner).
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration abilities.

YOU WILL CATCH OUR ATTENTION IF YOU:

• Are adept at writing code/ scripts to automate your work;
• Have experience in leading a QA/ testing team;
• Have good experience in API testing;
• Have expertise in test automation for cloud/ distributed products;
  

About us

LawNet Technology Services (LTS) is a wholly-owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. LTS is the technology company behind LawNet, a one-stop law practice portal providing a complete suite of information and transactional solutions for the Singapore and global legal community.

Responsibilities:

• Oversee development of LawNet on time and within budgets assigned
• Determine internal and external stakeholders needs and desires whether by market research, surveys or user group testing
• Lead product ideation, technical development, product testing, launch, end user training and rollout
• Recommends the nature and scope of present and future product lines by reviewing product specifications and requirements; appraising new product ideas and/or product or packaging changes.
• Lead the planning of product release plans and set the expectation for delivery of new functionalities
• Define product vision, roadmap and growth opportunities to the development teams and stakeholders
• Build business cases for products and features, and analysing performance
• Play an active role in mitigating impediments impacting successful team completion of Release/Sprint Goals
• Establish shared vision across the company by partnering with key internal business stakeholders
• Evaluate risk and provide advice and guidance to stakeholders and business units
• Assesses market competition by comparing the LawNet to competitors' products.
• Provides source data for product line communications by defining product marketing communication objectives.
• Obtains product market share by working with sales to develop product sales strategies.
• Assesses product market data by calling on customers with sales and evaluating sales call results.
• Provides information for management by preparing short-term and long-term product sales forecasts and special reports and analyses; answering questions and requests.
• Brings new products to market by analysing proposed product requirements and product development programs; preparing return-on-investment analyses; establishing time schedules with development teams.
• Introduces and markets new products by developing time-integrated plans with sales, marketing and development teams.
• Completes operational requirements by scheduling and assigning team members; following up on work results.
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies.
• Contributes to team effort by accomplishing related results as needed.

Skills and Qualifications:

• Proven track record in software product management, or as an associate product manager, with successes in:understanding the end-user and driving product adoption;
  analysing end user requirements;
  delivering products on-time and within budgets for internal / external stakeholders
• Technical background with understanding and/or hands-on experience in software development and web technologies
• Polished professionalism with outstanding strategic, organizational, planning (project & finances), communication, and problem-solving skills
• A team player
• Comfortable working in a fast-paced and dynamic environment
• Proven track record of exceeding KPIs
• Proven ability to collaborate with internal and external stakeholders
• Experience in liaising with government stakeholders and working with public sector systems is an advantage
• Strong metrics and analytical orientation
• Excellent written and verbal English communication skills, with strong presentation skill
• Background operating in Legal practice will be a plus