Senior AI Engineer

Turgon AI is the world's first AI-native system integrator for modern IT, leveraging a combination of AI agents and humans to build, integrate, and run the enterprise stack. They are looking for a Senior AI Engineer to take ownership of their most complex agentic workflows.

In this role, you will bridge the gap between 'cool demo' and 'enterprise-grade reliability,' architecting the orchestration layer that governs AI models. You will be responsible for the end-to-end lifecycle of agents, from system design and prompt engineering to latency optimization, cost management, and rigorous evaluation frameworks.

Key Responsibilities

• Lead the architectural design of complex, multi-agent systems using LangGraph/LangChain that can handle long-running, asynchronous enterprise tasks
• Own the 'Evals': Design and build automated evaluation pipelines to measure agent accuracy, hallucination rates, and success metrics before deploying to production
• Optimize RAG pipelines for scale: tuning chunking strategies, retrieval algorithms, and vector search parameters for maximum relevance and speed
• Make critical decisions on when to use massive foundation models (GPT-4) vs. smaller, specialized models to balance performance with unit economics
• Collaborate with the Product Team to translate ambiguous business requirements into concrete agentic behaviors and tool definitions
• Mentor younger engineers and help define AI engineering best practices

Requirements

• 5+ years of total engineering experience, with significant recent focus on Applied AI / LLMs
• Expert-level Python skills; you write clean, modular, and testable code
• Deep production experience with LLM orchestration (LangChain, LangGraph, etc.)
• Strong understanding of the modern Data Stack (SQL, Snowflake, Vector DBs)
• Experience in MLOps or LLMOps (tracing, monitoring, and versioning prompts/chains)