AI Engineer (LLM | RAG | AWS)
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
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.
- 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.
- Experience with React, Next.js, FastAPI, Streamlit or Node.js.
- Experience deploying production AI applications or working with vector databases.
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Kenwi Goh Jian Wee – R26159880
ScienTec Consulting Pte Ltd - 11C5781
Skills
- Agentic AI
- AI
- API
- API Gateway
- AWS
- AWS Bedrock
- CI/CD
- Cloud
- Docker
- DynamoDB
- ECS
- Embeddings
- Fargate
- FastAPI
- Gemini
- Generative AI
- Git
- JavaScript
- Lambda
- LLM
- Next.js
- Node.js
- OpenAI
- Prompt Engineering
- Proof of Concept
- Python
- RAG
- React
- Streamlit
- TypeScript
- Vector Databases
- Vector Search
- Workflow Orchestration