Staff AI Product Engineer

New

DistruERP software

Remote, WorldwideFull-TimeStaff

Salary200,000 - 300,000 USD per year

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Job Details

Have 7+ years of full-stack development experience, ideally on B2B SaaS applications.
Have hands-on experience building multi-agent harnesses used in production, not only prototypes or personal projects.
Have built MCPs that are used in production.
Have a strong grasp of reliability, observability, permissions, and safe workflow execution in production systems.
Be proficient in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph.
Have operated across product and engineering and be comfortable owning scoping and decisions.
Have worked at an early-stage startup with under 20 engineers and set direction amid ambiguity.
Use AI tools daily and be able to describe where your AI fluency is strong and where you are still developing it.
Build with Claude Code or similar tools, and have built your own skills, agents, or workflows.
Write evals before trusting a prompt and know when to use a model versus plain code.
Have put agents in front of real users with guardrails, observability, and a rollback approach.
Have shaped product roadmaps and communicate concerns and proposed solutions proactively.

Architect and build a production multi-agent system that safely takes actions across Distru and customers’ core systems.
Iterate on and maintain the MCP connecting Distru to Claude and Codex.
Own reliability, observability, and durable execution for the agentic harness.
Write evals using real customer use cases to improve agentic systems.
Build a unified data system that pulls information from multiple sources and exposes it to Claude and Codex via an MCP.
Build a contextual memory system that ingests customer data and improves agent experiences.
Set standards for how agents are built, tested, and shipped, and help the engineering team adopt them.
Track agentic frameworks, harnesses, toolkits, and models, and prototype new ideas for the team and customers.
Build with Claude Code or similar tools and improve the team’s agentic coding workflow.

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