In a data-driven and evaluation-driven manner, build an efficient closed loop for data iteration and establish an end-to-end data system spanning data sourcing, labeling, processing, synthesis, and evaluation. Continuously build high-quality datasets and evaluation sets to keep improving foundation model capabilities and to drive the development of AI models and applications.
Responsibilities cover one or more of the following directions:
Design and implement high-performance, scalable, and distributed data infrastructure covering the full lifecycle — data storage, ingestion, cleaning, labeling, management, and analysis — and continuously improve data engineering efficiency.
Design audio-visual multimodal training data strategies; develop efficient data processing, synthesis, and optimization operators and pipelines, and build a multimodal data asset repository to meet the data needs of large model development.
Build a "data–model–evaluation" closed loop together with Agents, using data to drive rapid iteration of large models.
Track cutting-edge techniques and methods in the large-model data domain, explore innovative approaches such as data augmentation, dat
Own the architecture, development, and productionization of core AI data product capabilities, including natural language to SQL, dashboard generation, and insight / report generation.
Build production-grade LLM application pipelines for enterprise data scenarios, including:
metadata and schema retrieval
semantic layer and metric understanding
query planning and SQL generation
SQL validation, rewriting, and execution
visualization spec generation
narrative insight generation
Design and implement reliable backend services and platform capabilities that balance accuracy, access control, explainability, observability, latency, and cost.
Deeply understand user workflows in analytics and data consumption, and translate ambiguous business questions into scalable, reusable engineering systems.
Work closely with Data Infra, Data Engineering, BI, Frontend, Design, and AI / ML engineering teams to deliver products from zero to one and scale them from one to many.
Establish and continuously improve the LLM evaluation and feedback loop, including offline benchmarks, online metrics, user feedback, prompt / model versioning, failure analysis, and quality improvement.
Drive performance, reliability, and engineering excellence across the system, and contribute to long-term architectural evolution.
Stay current with best practices in LLM applications, AI agents, semantic analytics, and enterprise AI systems, and turn them into practical production solutions.
Participate in the full development life cycle from brainstorming to engineering
Write clean and maintainable code that is properly tested and reviewed
Work closely with other software engineers, product managers, user experience designer, and operations engineers to build products
Finish the assigned development tasks under the guidance of mentor and technical team leader
The Lifeline Building, Singapore 319455, Singapore (Country)
Experience
:
month - 0 month
Salary
:
TBC
We are seeking a highly motivated and experienced Backend Engineer (up to Senior Consultant level) to join our team for a major Government project. The successful candidate will be responsible for researching, designing, and developing software and applications. This role requires strong analytical skills and the ability to develop innovative software solutions that meet user needs and performance requirements.
The Lifeline Building, Singapore 319455, Singapore (Country)
Experience
:
month - 0 month
Salary
:
TBC
We are seeking a highly motivated and experienced Data Engineer (up to Senior Consultant level) to join our team for a major Government project. The ideal candidate is not just a data developer but a technical strategist who shares a strong conviction in the Government’s mission to serve the public through robust digital infrastructure. You will play a critical hybrid role, combining deep data engineering expertise with DevOps and cloud infrastructure capabilities to deliver secure, scalable, and impactful data solutions.
The Lifeline Building, Singapore 319455, Singapore (Country)
Experience
:
month - 0 month
Salary
:
TBC
We are seeking a highly motivated and experienced Full Stack Engineer to join our team, taking the lead in the maintenance, support, and modernization of mission-critical enterprise applications. The ideal candidate is a proactive problem-solver who excels in stabilizing legacy systems while driving progressive technology upgrades. You will play a hybrid role, combining deep technical troubleshooting with strategic modernization roadmaps to ensure system stability, security, and performance for highly regulated environments.
