Product Engineer (Full-Stack) - GenAI Focus

Core Responsibilities

Work directly with operational partners to understand workflows and constraints, and turn them into scoped, buildable solutions.

Own features end-to-end: data model, backend, frontend, deployment, instrumentation, and post-launch iteration.

Build GenAI-powered capabilities (LLM integrations, agents, RAG, workflow automation) where they measurably improve outcomes for students or operators.

Use AI-assisted development (coding agents, AI code review) as a default part of how you build.

Make pragmatic trade-offs: ship small, measure, iterate.

Own the reliability of what you ship through testing, code review, production support, and paying down tech debt.

Communicate progress, trade-offs, and scope decisions clearly to non-technical stakeholders.

At Senior level, lead ambiguous, multi-stakeholder projects and mentor other engineers.

Requirements

Must Have

• A minimum of 4 years of experience in the industry
• Strong full-stack skills: backend (Python/Django preferred) and frontend (React preferred; Angular or Vue also fine)
• Solid SQL and data modeling
• Hands-on production experience with a major cloud platform (GCP preferred; AWS or Azure fine): deploying, operating, and debugging services
• Hands-on GenAI experience: you’ve built at least one feature or tool on LLM APIs (prompting, tool use, retrieval, evaluation) and use AI coding tools in your daily work
• A track record of shipping products end-to-end, including defining requirements directly with business or operational users
• Clear, direct communication with non-engineers

Good to Have

• Kubernetes (GKE) and CI/CD pipelines
• Experience with an LMS, especially Canvas
• BigQuery, analytics pipelines, or event instrumentation (e.g., Segment)
• Agent frameworks or MCP
• Refactoring complex systems or decomposing monoliths

About Springboard

Springboard is an education and workforce development company on a mission to bridge critical skills gaps by enabling individuals to access high-quality, job-aligned training. It offers flexible, mentor-led programs in high-growth fields including AI, Allied health, Data analytics, Software engineering, and more.

Springboard partners with employers, healthcare systems, and workforce organizations to deliver programs that build durable talent pipelines, producing measurable business and workforce outcomes.

Why Join Us

You’ll build products that directly shape how thousands of learners get through human-guided programs, with short feedback loops to the people using what you ship, and real room to apply GenAI to hard problems in education. If you like owning outcomes rather than tickets, we’d love to talk.