Sr. AI Engineer
Job Description
- Design and build production GenAI applications — LLM copilots, RAG pipelines, agentic workflows and AI-native UX — on a modern 2026 AI stack
- Engineer retrieval end to end: chunking, embeddings, vector stores, retrieval, re-ranking, and hybrid search; debug retrieval quality when it matters
- Build agents and multi-step workflows with LangGraph and LangChain; integrate MCP servers and agent SDKs for tool access
- Augment enterprise platforms with predictive insight, intelligent automation, and conversational UX
- Deploy to AWS Bedrock, Azure AI Foundry, or GCP Vertex AI with solid CI/CD, observability, and guardrails
- Build evaluation harnesses, wire up LLM observability, and bake in responsible-AI basics: PII handling, guardrails, and audit trails
- Run client discovery workshops and translate business problems into scoped, ROI-backed AI use cases
- Demo working software to technical and business stakeholders, and defend design decisions and tradeoffs
- Contribute to reusable accelerators and mentor junior engineers as the practice grows