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AI Engineer (LLM | RAG | AWS)

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Summary

Builds AI-powered applications for a Singapore government agency, taking GenAI solutions from POC to production using LLMs, RAG and agentic workflows. Core stack: Python/TypeScript, OpenAI/Gemini/AWS Bedrock, plus AWS services like Lambda, ECS and DynamoDB.

Salary: SGD 5500 - 10000 per month

AI Engineer (LLM | RAG | AWS)

About the Role
  • Salary up to $10000 + Bonus
  • Opportunity to work on cutting-edge Generative AI initiatives.
  • Be part of a team driving AI innovation in Singapore
Our client, a government agency in Singapore, is looking for a AI Engineer to build AI-powered applications using Large Language Models (LLMs), RAG and agentic AI. You will work with business stakeholders to develop innovative AI solutions from Proof of Concept (POC) through production deployment.

Key Responsibilities
  • Design and develop GenAI applications using OpenAI, Google Gemini, AWS Bedrock or similar platforms.
  • Build full-stack applications, APIs and system integrations.
  • Implement RAG pipelines, embeddings, vector search and agentic workflows.
  • Deploy AI solutions on AWS (Lambda, ECS/Fargate, API Gateway, DynamoDB, etc.).
  • Work with stakeholders to understand business needs and deliver AI solutions.
  • Evaluate new AI technologies and recommend innovative use cases.
  • Optimise, document and support AI applications for production.
Requirements
  • Strong programming skills in Python and/or JavaScript/TypeScript.
  • Hands-on experience with LLMs, prompt engineering, RAG and AI APIs.
  • Experience with AWS cloud services, Docker, Git and CI/CD.
  • Familiar with AI agents, tool calling and workflow orchestration.
  • Good problem-solving and communication skills.
Nice to Have
  • Experience with React, Next.js, FastAPI, Streamlit or Node.js.
  • Experience deploying production AI applications or working with vector databases.

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This authorizes us to:
  • Contact you about potential opportunities.
  • Delete personal data as it is not required at this application stage.
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
Kenwi Goh Jian Wee – R26159880
ScienTec Consulting Pte Ltd - 11C5781

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