Principal AI Engineer

10+ years of software engineering experience At least 3 years in applied LLM or agentic AI systems Proven success in deploying LLM-powered products at scale Deep backend & systems engineering expertise with Python, distributed systems, and scalable APIs Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks Experience with RAG pipelines, vector DBs, embedding models, and semantic search tuning Experience managing performance across cloud providers (e.g., AWS Bedrock, OpenAI, Anthropic) Demonstrated experience building multi-step agents Comfort with advanced prompting strategies Strong understanding of AI system evaluation Experience designing safety-aware, reliable LLM systems in production Experience owning logging, monitoring, and observability for live AI systems

Architect and lead development of multi-agent systems Build reusable agentic components Own and evolve LLM platform for scalable deployments Lead design of conversational AI interfaces Build embedding-based search and personalization systems Drive innovation in personalized outreach generation Tune inference pipelines for performance Define and drive AI system evaluation methodologies Architect human-in-the-loop systems