Product Development Engineer ; Onsite
Listed on 2026-10-17
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Software Development
AI Engineer (Applied/Software)
Product Development Engineer I (AI-Native) (Onsite role)
Our purpose is to help a billion people find the right work! Phenom is an AI-Powered talent experience platform that is redefining the HR tech space. We have grown into a global organization with offices in 6 countries and over 1,500 employees. As an HR tech unicorn organization, innovation and creativity is within our DNA. Come help us make every talent moment Phenomenal!
Job DescriptionOur purpose is to help a billion people find the right work! Phenom is an AI-Powered talent experience platform that is redefining the HR tech space. We have grown into a global organization with offices in 6 countries and over 1,500 employees. As an HR tech unicorn organization, innovation and creativity is within our DNA. Come help us make every talent moment Phenomenal!
We are looking for a Product Development Engineer (AI-Native) who takes ideas and customer needs and turns them into working, validated product features and agentic capabilities — owning them from first prototype to production. Here, everyone wears multiple hats: the same person who builds a feature also ships it, supports the people using it, and debugs issues directly. You own outcomes end-to-end, not a narrow slice.
You’ll Do
- 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.
- 0-2 years of software development experience.
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field required;
Master's degree preferred. - Strong fundamentals and critical thinking — AI raises the bar on judgment, it doesn’t replace it.
- Comfortable across the stack and building with modern AI coding tools and agents.
- Customer empathy — you can sit with a customer, ask the right questions, and decide which problems are worth solving.
- End-to-end ownership — you finish what you start and keep improving it.
- Adaptable — eager to adopt new tools and reinvent your workflow as the tooling changes (often weekly).A strong communicator who aligns quickly with colleagues and customers.
- You thrive on variety — building, debugging, shipping, and customer calls in the same week.
- Bonus: experience building AI / agent products, workflow orchestration, observability, or building agent workflows on an Agent SDK.
- Programming proficiency — write clean, maintainable code in at least one modern language (e.g., Python, Java, JavaScript / Type Script, 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,…
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