Senior ML/AI Engineer - A26411

ACTIVATE INTERACTIVE PTE LTD; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

ACTIVATE INTERACTIVE PTE LTD in Singapore seeks an ML/AI Engineer embedded in the DSAD division to design and build two agentic AI systems for FAM 2.0, surfacing emerging fraud risks and translating them into detection logic. You will ensure human validation, evaluation, and responsible-AI guardrails throughout.

The role involves integrating with Redshift, Glue and PySpark, delivering MVPs, and building in-house capability for ongoing maintenance and operation of these AI systems.

Qualifications

• Strong Python software engineering capability including API development and testing.
• Hands-on experience building and deploying ML/AI applications beyond PoC.
• Experience with LLM applications, retrieval, tool use, and multi-agent frameworks such as LangGraph or CrewAI.
• Experience integrating AI/ML with enterprise data platforms and cloud services.
• Ability to design evaluation frameworks covering testing, observability and reproducibility.
• Working knowledge of AI governance, security and Responsible AI practices.

Responsibilities

• Design end-to-end agentic AI architecture for FAM, including orchestration and human approval points.
• Develop AI agents to identify emerging fraud risks from approved sources.
• Translate validated risks into analytics and detection logic.
• Integrate agent workflows with DSAD data components (Redshift, Glue, PySpark).
• Build modular, tested production services with clear interfaces and version control.
• Create automated CI/CD workflows with quality and governance gates.
• Establish evaluation frameworks and guardrails for AI outputs and data handling.
• Monitor system health, latency, throughput and data quality; support incident analysis.
• Collaborate with DSAD data scientists and business users to align with fraud detection needs.
• Produce documentation and transfer knowledge for long-term sustainability.

Skills

Python

ML/AI applications

LLM frameworks

Data integration

Evaluation frameworks

Responsible AI

Problem solving

Tools

LangGraph

CrewAI

PySpark

Redshift

Glue

Job description

What will you do?

The ML/AI Engineer is embedded within Data Analytics and AI Division (DSAD), working as part of the division's Fraud Analytics Model (FAM) team. The role supports FAM 2.0, which detects misuse of public training subsidies, by designing and building two agentic AI systems. The first surfaces emerging or blind‑spot fraud risks. The second converts validated risks into actionable detection logic. Human validation, evaluation and responsible‑AI guardrails are embedded throughout. The engineer is expected to deliver working, evaluated MVPs and to build up DSAD's in‑house capability to operate and maintain these systems independently.

• Agentic AI Architecture: Design the end‑to‑end architecture for FAM agentic AI solutions, including agent orchestration, workflow design, state management, tool integration, human approval points and system interactions, using suitable frameworks such as LangGraph or CrewAI. Architecture decisions are subject to consultation with DSAD's Platform Team.
• Emerging‑Risk Agent Development: Develop AI agents that analyse approved information sources to identify, generate and prioritise evidence‑linked emerging fraud and abuse risks for officer review.
• Detection Engineering Agent Development: Develop AI agents that assess data feasibility, propose candidate risk indicators and detection features, and support the translation of validated risks into actionable analytics and detection logic.
• Data & Analytics Integration: Integrate agent workflows with FAM 2.0 data and analytics components, including Redshift, Glue and PySpark. Build and maintain data preparation and feature‑engineering processes required to support AI and ML workloads.
• Production Engineering: Convert prototypes into modular, tested, maintainable and deployable services, workflows, APIs or agentic applications, with clear interfaces, version control and operational ownership.
• CI/CD & Automation: Build automated workflows for testing, validation and promotion of code, prompts, workflows and AI components across environments, incorporating quality, security and human approval gates where required.
• Evaluation & AI Guardrails: Implement evaluation frameworks and governance controls covering output quality, reproducibility, traceability, access control, exception handling, human approval gates and safeguards against untrusted inputs such as prompt injection.
• Monitoring & Reliability: Implement observability, dashboards and alerts covering system health, latency, throughput, errors, resource utilisation, data quality, workflow performance and operating costs. Support incident management, troubleshooting and root‑cause analysis.
• Domain Collaboration: Work closely with DSAD data scientists, business users and analysts to capture domain expertise, refine agent workflows and ensure solutions address operational fraud detection needs.
• Documentation & Knowledge Transfer: Produce maintainable code, architecture decision records, evaluation evidence, operational runbooks and technical documentation, and conduct knowledge transfer to support long‑term sustainability of the solution.

What are we looking for?

• Strong Python software engineering capability, including API development, testing, version control and modular system design.
• Hands‑on experience building and deploying ML/AI applications, including at least one LLM‑enabled or agentic AI solution beyond proof‑of‑concept stage.
• Experience with LLM applications, retrieval, tool use, workflow orchestration or multi‑agent frameworks such as LangGraph, CrewAI or equivalent.
• Experience integrating AI/ML solutions with enterprise data platforms, databases, APIs or cloud services.
• Ability to design and implement systematic evaluation frameworks for AI systems, including testing, benchmarking, observability and reproducibility.
• Working knowledge of AI governance, security and Responsible AI practices, including human‑in‑the‑loop controls, access management, auditability and safeguards against misuse.
• Strong problem‑solving

Activate Interactive Pte Ltd ("Activate") is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost‑effective, and impactful end‑to‑end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people's lives, then we would love to hear from you.