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Algorithm and AI Senior/Staff Engineer
On-site · Singapore, Singapore
Job Summary
Design and deliver reliable, efficient AI applications and LLM-powered agent systems. Architect and deploy end-to-end agent solutions including chatbots, copilots, and retrieval-augmented generation pipelines; implement context engineering, safety guardrails, and production-grade monitoring. Lead cross-functional collaboration to meet product requirements, optimize latency and cost, and mentor junior AI engineers while advancing reproducibility and engineering standards for LLM-based products across web and internal platforms.
Required Qualifications
- 5+ years of hands-on experience in production-level chatbot development
- at least 1 year experience in building LLM-based agents
- Hands-on with major LLMs/APIs (OpenAI, LangChain or Anthropic, Hugging Face)
- Expertise in prompt and context engineering for LLMs
- Deep experience with RAG pipelines and vector/hybrid search (e.g., FAISS, pgvector, Pinecone), rerankers, and grounding/citation techniques
- Experience developing and integrating tools using Model Context Protocol (MCP)
- Multilingual support in chatbot designs
- Python programming (mandatory); familiarity with TypeScript, Java/JavaScript, or Matlab advantageous
- Experience managing AI agent safety, content moderation, red-teaming, and hallucination mitigation
- Observability tools and practices (logging, distributed tracing, metrics)
- AWS SageMaker, Bedrock, and Step Functions for production-grade AI agents
- Experience in biotechnology industry is a plus
- Strong communication and collaboration skills
- Ability to work independently and in cross-functional teams
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