Senior AI Engineer at Turgon AI

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)