Senior AI Engineer with RAG and Agentic architectures

Responsibilities

• Architect and deliver production LLM applications — chat, copilots, assistants, and autonomous workflows — from idea to scale
• Construct and implement RAG pipelines: chunking, embeddings, vector search, reranking, and grounding to minimize hallucination and boost relevance
• Create agentic architectures: multi-step reasoning, tool/function calling, planning, memory, and multi-agent orchestration
• Support the automation of business and engineering workflows through agentic AI and workflow automation
• Establish prompt and context strategies; construct evaluation harnesses and maintain quality, latency, and cost standards
• Connect LLMs with internal data, APIs, and tools through connectors, function calling, and structured outputs
• Deploy guardrails, safety, and observability for AI systems (tracing, evals, monitoring for quality and drift)
• Partner with product, data, and platform teams to transform ambiguous problems into shipped AI features
• Exchange knowledge with fellow engineers and take part in design reviews

Languages