AI Product Engineer (Elixir)

Responsibilities

• Translate customer or market needs and high-level ideas into product decisions, clear specifications, acceptance criteria, and achievable weekly delivery goals.
• Own architecture and implementation of Elixir-based applications, including integrations, APIs, data models, scalability, performance, security, and maintainability.
• Set up and operate autonomous coding-agent workflows: plan tasks, run parallel agents where useful, preserve context and state, recover failed or interrupted work, and manage execution cost and limits.
• Build a dependable delivery loop from specification/PRD to tracked issues, agent implementation, automated tests, CI, independent QA/security review, pull requests, and controlled merges and releases.
• Use engineering judgment to challenge agent output, diagnose difficult problems, validate behavior end-to-end, and prevent regressions; write code directly when it is the best way to solve a problem.
• Communicate daily and proactively with the client and team: surface risks early, propose trade-offs and solutions, demonstrate working increments, and maintain visible progress without waiting for instructions.
• Continuously improve the agent harness, development standards, observability, and quality gates so the workflow becomes faster, safer, and less dependent on manual supervision.
• Each sprint ends with working, verified software the client can see.
• Agents make progress on prepared work between your reviews.
• Fast delivery that holds up on quality and security.

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