Inorsa is an AI-first automation platform transforming how mission-critical infrastructure is designed, maintained, and upgraded. The AI Tech Lead will architect workflows, drive vertical domain integration, and set technical standards to ensure production-grade reliability in AI systems.
Responsibilities:
- Design and implement multi-actor state machines using LangGraph, including loops, error-recovery paths, and human-in-the-loop checkpoints
- Own the observability and evaluation strategy using LangSmith: trace agentic paths, version prompts, and run regression tests against gold-standard engineering datasets
- Build custom evaluators (LLM-as-judge) and use traces to identify exactly where multi-step agentic chains fail in production
- Collaborate directly with structural and telecom domain experts to encode specialized engineering knowledge into agentic tools
- Translate 30+ years of practitioner tribal knowledge into reliable, production-grade automation
- Work cross-functionally with engineers, product managers, and field teams to ensure AI outputs meet the accuracy standards required in high-stakes engineering environments
- Lead by example on AI-native development: Cursor, Claude Code, GitHub Copilot, and equivalent tooling
- Automate the grunt work of coding to concentrate team energy on architecture and domain logic
- Review code, mentor engineers, and raise the bar on quality, performance, and maintainability across the AI stack
- Communicate progress, risks, and architectural tradeoffs clearly with engineering leadership and product