Lead AI Engineer

Axya builds AI-powered technology for manufacturing sourcing and procurement. The Lead AI Engineer owns the technical direction and quality of Axya’s AI systems, taking AI features from prototype to reliable production and improving them through evaluation, customer feedback, and technical leadership.

Responsibilities:

• The architecture of Axya's AI layer: agent and LLM workflows, retrieval, tool use, and how they connect to customer ERP and procurement data
• Evaluation and quality: build the eval frameworks, test sets and monitoring that tell us whether the copilot is accurate, reliable and improving. Be the person who can say "this is ready" and prove it
• Production delivery: take AI features from prototype to dependable, observable, cost-aware production systems
• Model and tooling decisions: choose, benchmark and evolve models, vendors and frameworks, balancing quality, latency, cost and customer data constraints
• Customer-grade reliability and security: work with the CTO and security lead to meet enterprise expectations on data handling, access control, privacy and auditability
• Technical standards and mentorship: set engineering practices for AI development and coach other engineers in applied AI
• Closing the loop with customers: turn real customer usage and failure cases into the next round of improvements