AI Product Engineer
Summary
Fully remote engineer hired for a Phoenix, Arizona AI company, owning features end-to-end by directing AI coding agents (Claude Code, Cursor, Codex), reviewing every line they produce, and running several agents in parallel across work streams. Stack: .NET/C#, Python/FastAPI, PostgreSQL, React 19, Docker, GitHub Actions, plus LLM tool-calling and MCP integration. Pays $2,000–$2,500/month.
Salary: $2,000 – $2,500 per month
Working Schedule: Monday – Friday, 8am – 5pm Mountain Standard Time
Work Arrangement: Fully Remote
Employer: AI company located in Phoenix, Arizona
Benefits:
13th Month Pay
HMO & Govt. Contribution Allowance on top of the salary (After a 90-day probationary period)
Personal Time Off (After a 90-day probationary period)
Click here to apply: https://www.careers-page.com/hirearchi/job/7X7YR4X3
About the role
This is a new kind of engineering role. You won't be a code monkey wired into a backlog. You'll own features end-to-end using Claude Code and other coding agents: design, implementation, testing, shipping. You direct the AI, you read every line it produces, and you ship the finished thing. You'll work across the platform: Threo (the client workspace), Wingtip (agentic execution from plain English requests), Pylon (agent creation and runtime), and Canopy (the control plane for every client tenant).
Key responsibilities
Take a problem from rough idea to shipped feature: design, build, test, deploy, working from specs and repo-level agent instructions you and your agents both use. No handoffs for "the real implementation."
Read every line the AI produces. You're accountable for what ships, not the model.
Operate two, three, or more AI agents at once across separate work streams (new features, bug fixes, refactors), keeping each in its own sandbox or work tree and shipping from all of them the same day without losing state or scope.
Ship services in .NET 10 LTS / C# (ASP.NET Core, Minimal APIs, background workers).
Build and extend Python services using FastAPI for the agent execution engine and adjacent tooling.
Design and evolve data models in PostgreSQL: schema, migrations, indexes, query performance.
Build React 19 interfaces with the stable React Compiler — admin consoles, data grids, forms, and chat UIs.
Implement streaming chat and live updates, and integrate with LLM providers via tool calling and MCP servers, structured outputs, retries, and fallbacks.
Write tests, write docs, close the loop, and debug across services and stacks — the AI helps, but it doesn't excuse you from understanding the system.
Ship via Docker and GitHub Actions to cloud infrastructure.
About you
Daily, fluent use of agentic coding tools (Claude Code, Cursor, Codex, or similar). You can direct an agent through a non-trivial feature without losing the plot and your first instinct is to design with AI in the loop.
Parallel agent management. You can run multiple agents at once across separate work streams (features, bug fixes, refactors) and deliver shipped work from each.
Solid programming fundamentals. You can read and reason about code in at least one of: C#, TypeScript/JavaScript, or Python. You understand HTTP APIs, relational databases, and basic async patterns. You can debug what you didn't write.
Product sense. You can look at a half-formed requirement, ask the right three questions, then ship something the user actually wants.
Ownership and clear async communication. When you pick up a feature, you finish it: tests, docs, no dangling threads, no partial solves left for someone else.
Quality checks on AI output. You ship the full loop — traces, trajectory-level evals, and guardrails against prompt injection — and can show a non-deterministic feature is safe in front of paying customers.
