GenAI Software Engineer (1-Year Contract, Singapore)

About the role

A 1-year contract position based in Singapore, working directly with a client's business units to deliver high-impact AI and automation solutions on an established enterprise GenAI platform. You will own delivery end to end, from discovery and rapid prototyping through production rollout, adoption and handover.

Key responsibilities

• Embed with business teams, understand their workflows and pain points, and turn ambiguous needs into prioritised use cases with measurable success criteria.
• Build working prototypes quickly, validate them with users and take viable solutions to production.
• Design reliable AI agents and workflows using LangGraph, LangChain, n8n or similar, combining deterministic logic, LLM reasoning, tool calling and human approvals.
• Develop APIs, integrations and lightweight UIs using Python, FastAPI and PostgreSQL, including data ingestion and retrieval pipelines (search and vector services).
• Define evaluations, implement tracing and monitoring, and apply secure, responsible AI practices (least privilege, prompt-injection defences, auditability, human oversight) in line with government policies.
• Own testing, rollout, documentation, user enablement and support, and feed learnings back into reusable patterns and the core platform.

Required profile

• 5+ years of software engineering experience, owning production applications from ambiguous requirements through deployment and support.
• Strong Python (or another modern backend language), API design, async processing and system architecture.
• Hands-on experience with LLM applications, RAG, tool-calling agents or workflow automation.
• Excellent communication and facilitation skills, able to work with non-technical users and drive adoption.
• Comfortable with ambiguity and quick to learn new business domains.

Required skills

• PostgreSQL and relational databases, plus data pipelines, search and vector retrieval.
• Cloud-native deployment; AWS (Bedrock, OpenSearch) preferred, Azure or GCP acceptable.
• Nice to have: consulting or solutions engineering experience, visual workflow builders (n8n, Flowise), LLM evaluation, observability or red-teaming, and regulated-environment experience.