Product Development Engineer I (AI-Native) (Onsite role)

Summary

Phenom is an AI-Powered talent experience platform redefining the HR tech space. The Product Development Engineer I (AI-Native) role involves transforming customer needs into validated product features on the Phenom platform, taking ownership from prototype to production.

Responsibilities

• Build innovative products on the Phenom platform — prototype fast, then harden what proves valuable into something customers can rely on
• Take ideas to production — design, build, and validate features end-to-end, then keep improving them after they ship
• Build and improve reusable agentic skills — packaged, versioned capabilities anyone in engineering can compose and re-run, so the next build starts from a proven asset, not a blank page
• Practice AI-assisted, increasingly agentic engineering — drive PRs with coding agents and your own custom skills, and wire each PR to also update the observability it depends on
• Run a controlled debugging loop — work from logs, traces, and prior incidents to find and fix root causes quickly
• Own delivery to customers — deployment gates and hypercare, partnering with reliability engineers on deep platform issues
• Keep rich context for agents — maintain the structured, per-customer context that every agent and skill draws on before it acts
• Respect the guardrails — analysis is separated from action, high-risk changes require human approval, and every decision is logged for audit

Skills

• 1-4 years of software development experience
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field
• Strong fundamentals and critical thinking
• Comfortable across the stack and building with modern AI coding tools and agents
• Customer empathy
• End-to-end ownership
• Adaptable
• A strong communicator who aligns quickly with colleagues and customers
• You thrive on variety
• Programming proficiency — write clean, maintainable code in at least one modern language (e.g., Python, Java, JavaScript / TypeScript, or Go)
• Computer science foundations — strong understanding of data structures, algorithms, complexity (Big-O), and decomposing problems into clean, testable components
• Software design principles — object-oriented and functional concepts, clean-code practices, and sensible code and API design
• Version control & collaboration — day-to-day fluency with Git, branches, pull requests, and code review
• APIs & databases — working knowledge of REST APIs and JSON, plus basic SQL and data modeling with relational and/or NoSQL stores
• Testing & debugging — writing unit and integration tests and diagnosing issues methodically from logs, traces, and stack traces
• Master's degree
• Experience building AI / agent products, workflow orchestration, observability, or building agent workflows on an Agent SDK
• Comfort in a Unix / Linux shell, with exposure to a cloud platform (AWS, Azure, or GCP) and CI/CD concepts
• Hands-on with modern AI coding assistants and familiarity with LLM or agent concepts

Qualifications

Must Haves

• 1-4 years of software development experience
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field
• Strong fundamentals and critical thinking
• Comfortable across the stack and building with modern AI coding tools and agents
• Customer empathy
• End-to-end ownership
• Adaptable
• A strong communicator who aligns quickly with colleagues and customers
• You thrive on variety
• Programming proficiency — write clean, maintainable code in at least one modern language (e.g., Python, Java, JavaScript / TypeScript, or Go)
• Computer science foundations — strong understanding of data structures, algorithms, complexity (Big-O), and decomposing problems into clean, testable components
• Software design principles — object-oriented and functional concepts, clean-code practices, and sensible code and API design
• Version control & collaboration — day-to-day fluency with Git, branches, pull requests, and code review
• APIs & databases — working knowledge of REST APIs and JSON, plus basic SQL and data modeling with relational and/or NoSQL stores
• Testing & debugging — writing unit and integration tests and diagnosing issues methodically from logs, traces, and stack traces

Nice to Haves

• Master's degree
• experience building AI / agent products, workflow orchestration, observability, or building agent workflows on an Agent SDK
• comfort in a Unix / Linux shell, with exposure to a cloud platform (AWS, Azure, or GCP) and CI/CD concepts
• hands-on with modern AI coding assistants and familiarity with LLM or agent concepts

Benefits

• Benefits/programs to support holistic employee health
• Flexible hours and working schedules
• Growing organization with career pathing and development opportunities
• Tons of perks and extras in every location for all Phenoms!