About The Position

Pelico is hiring a Fullstack Software Engineer to help build Condor, its new agentic platform for industrial manufacturing. The role is an early, hands-on engineering position on a small team, building software that manufacturers and their AI teams will use with real factory data. The engineer will work across the Python backend and React frontend, delivering agent capabilities from orchestration and tools through to a user-facing console. The role builds on Pelico’s manufacturing data, event dependency graphs, simulation engine, and next-best-action algorithms. The engineer will help make agent execution durable and trustworthy, improve evaluation systems to catch behavior regressions, and create a clear, responsive console for monitoring agent events, tool calls, and approvals. They will also establish reusable engineering patterns, write specifications, and maintain sound frontend/backend contracts. The position offers substantial ownership and close exposure to customers and operational manufacturing use cases.

Requirements

  • Excellent coding skills and experience building real full-stack products with a Python backend and React frontend, or demonstrated ability to become effective with them quickly.
  • A strong drive to take ownership of challenging problems and capacity to grow into greater responsibility.
  • Rigor with non-deterministic systems: specify and evaluate before shipping, use evidence to guide decisions, and take ownership of production outcomes.
  • Understanding of how agent frameworks, tools, and evaluations work under the hood.
  • Use of AI coding tools in day-to-day development.
  • Ability to remain effective amid fast-moving ambiguity and turn uncertainty into a workable plan.

Nice To Haves

  • Experience with AI or agent products, including MCP, agent frameworks, or evaluations.
  • Experience with durable workflow engines such as Temporal.
  • Experience building streaming user interfaces.
  • Experience with observability tools such as OpenTelemetry.
  • Experience with spec-driven development.
  • Experience with multi-tenant SaaS.
  • Experience in aerospace, defense, or discrete manufacturing.

Responsibilities

  • Build and ship agent capabilities end to end, from tool/MCP and orchestration backend through to the React console.
  • Develop durable agent runtime capabilities, including execution, retries, scheduling, and human-in-the-loop approvals.
  • Improve the evaluation harness, including scenario evaluations and LLM-as-judge, to identify regressions in agent behavior before release.
  • Build a reliable console with real-time streaming of agent events, tool calls, and approvals.
  • Write specifications, maintain accurate frontend/backend contracts, and establish reusable engineering patterns for the team.
  • Own shipped work and follow issues into production, including issues involving AI-assisted code.

Benefits

  • Competitive salary benchmarked to the candidate’s market.
  • Health coverage.
  • Dental coverage.
  • Vision coverage.
  • Learning budget.
  • Ownership and opportunity to grow quickly on the founding team.
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