Embedded AI Engineer, Homebase

• 2+ years of professional software engineering experience shipping production systems (or equivalent)
• Strong proficiency in backend scripting language such as Ruby or Python, and comfort working across backend + frontend (TypeScript/JavaScript/React)
• Proven ability to deliver in ambiguity - You can work with subject matter experts to transform messy workflows into a scoped MVP and ship it quickly
• Hands-on experience building with LLMs and automating workflows; strong instincts for pragmatic solution design
• Strong communication skills and stakeholder leadership: you can run working sessions, demo clearly, drive adoption, and empathize with your internal customers
• AI fluency (required): You retool workflows with AI, instrument outcomes, and measure impact (time saved, error reduction, adoption, throughput)
• If you're excited about this role, even if you don’t meet 100% of the qualifications, we encourage you to apply!

Desirable

• We’re looking for an Embedded AI Engineer at the E2 level to run embedded engagements with internal teams and deliver durable AI-powered systems that materially improve operational efficiency and business outcomes
• You’ll operate close to the business: translating messy workflows into scoped solutions, building production systems at velocity leveraging modern LLMs and coding agents, and iterating rapidly based on real usage
• Lead embedded cycles end-to-end: discovery (workflow mapping + KPI definition), build/launch, and scale/standardize
• Ship full-stack internal systems (services, integrations, and UIs) that teams rely on daily; balance speed with maintainability
• Own and evolve shared internal AI software that multiple teams depend on—treating key accelerators as compounding assets
• Establish clear ownership paths for each deliverable: team-owned (shared), co-owned (team-specific), or handoff (when there’s a natural long-term home)
• Drive measurable impact: define success metrics up front and iterate until adoption and KPI movement are real
• Create reusable templates, components, and playbooks so the next engagement ships faster and better
• Partner effectively across Engineering + stakeholders: communicate tradeoffs, scope, rollout plans, and change management clearly

• Meet the Talent Acquisition team, Ryan H
• Meet the Hiring Manager, Justin N
• Participate in a Technical Assessment
• Meet Cross-functional Partners
• Background Check + Offer Stage
• Welcome to the team, Homie