Senior AI Engineer
Skills
Computer ScienceAmazon Web ServicesBedrockContextIsolationLarge Language ModelsOral
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in Computer Science Engineering or related field or equivalent practical experience
- 5+ years of professional software engineering experience with at least 2 years focused on production AI or LLM application development
- Strong Python proficiency and solid software engineering fundamentals
- Deep backend engineering experience designing building and operating production services and APIs with strong testing code quality and system design fundamentals
- Hands-on experience building and deploying agentic AI systems
- Demonstrated experience integrating LLM APIs into production applications
- Experience building and maintaining RAG pipelines and vector search systems
- Working knowledge of Model Context Protocol and tool-calling patterns
- Experience designing and running LLM evaluation frameworks for quality reliability and safety
- Experience building and operating AI infrastructure on a major cloud platform
- Strong written and verbal communication skills
Nice to have
- Compliance-minded
- Detail-oriented
- Collaborative
- Production-focused
- Security-conscious
Day to day
- Design and build production-grade agentic systems, multi-agent orchestration, specialist agents, and Human-in-the-Loop workflows.
- Develop MCP servers and tool integrations that connect AI agents to Teak's platform APIs and partner systems.
- Orchestrate LLMs, build RAG pipelines, implement safety guardrails, and improve AI infrastructure, observability, and backend services in Python.