Technology & Innovation Engineer

Technology & Innovation Engineer focuses on build the systems that allow their applied ai team to ship production llm applications without breaking things.

What the role involves

• Build the systems that allow their applied AI team to ship production LLM applications without breaking things.
• Observability and guardrails — Implementing monitoring that catches when autonomous agents fail.

Skills and requirements

• Bridge) ~ Hands-on experience with agentic AI systems, LLM orchestration frameworks (Lang.

Candidate fit

• technical judgement, safe working habits, careful diagnostics, and practical problem-solving

Additional role context

• The focus is infrastructure engineering for AI systems — not traditional MLOps or feature engineering.
• Tracking decision quality, tool-use patterns, and failure modes 4+ years building production systems (not just experiments or prototypes) ~ Strong Python skills.
• Agentic orchestration on serverless AWS — Building Lambda + Step Functions infrastructure for autonomous workflows.