AI Software Engineer

About the role

A fully remote, full-time (40 hours per week) position for an AI software engineer who uses AI deeply in their own development workflow and builds dependable agents for the people running the business. The role requires a team overlap of 10 A.M. to 2 P.M. Eastern Time.

Key responsibilities

• Build agents with persistent sessions, structured tool calls, browser or code execution, sandboxing, scoped permissions, retries and clear approval boundaries.
• Connect documents, APIs and databases; design retrieval with source citations, freshness and access controls, and keep verified facts, conversation state and learned preferences separate.
• Use traces, test cases and user corrections to improve prompts, tools, retrieval and memory, test changes before promotion and keep a rollback path.
• Ship chat and workflow interfaces tied to real systems, from guest support and company knowledge to scheduling and operations, owning testing, deployment and debugging.
• Create evaluations, inspect raw traces, reproduce edge cases and measure task success, latency and cost; diagnose failed tool calls or retrieval results and explain the fix.
• Build APIs and frontends on solid engineering foundations, including concurrency, queues, idempotency, tests, Docker and CI/CD.

Required profile

• Hands-on use of coding tools such as Codex, Claude Code or OpenCode beyond autocomplete, with an explanation of how you manage context, parallel work, verification and failures.
• Deliberate choice of models and orchestration, experience with MCP, APIs or code-mode tools, and an understanding of context limits, state persistence, tool schemas and when deterministic code is preferable.
• A resume or profile, GitHub or a demo, and one agent system you personally built, describing what you owned, how it works, one failure you fixed and how you measured improvement.

Required skills

• Strong Python and/or TypeScript, plus SQL and document databases.
• Knowledge of MCP, APIs and code-mode tools.