Embedded AI Engineer at Homebase enhancing operational efficiency through AI-powered systems. Collaborating with teams to ship scalable solutions and drive business outcomes effectively.
Responsibilities
Lead embedded cycles end-to-end: discovery (workflow mapping + KPI definition), build/launch, and scale/standardize.
Ship full-stack internal systems that teams rely on daily; balance speed with maintainability.
Own and evolve shared internal AI software that multiple teams depend on.
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.
Requirements
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).
Benefits
Stock options + 401(k) with 4% match
Comprehensive Healthcare: Medical, dental, and vision coverage + FSA options
Unlimited PTO (salaried) + company holidays
Up to 12 weeks of paid parental leave (after 6 months of service)
Life insurance + short/long-term disability coverage
Work From Anywhere Month + meeting-free weeks yearly
Meals provided, commuter benefits, team offsites, and Customer Days
Tuesdays and Wednesdays are our required in-office days
AI Lead at Aspire Software identifying and building AI - powered solutions. Responsible for customer discovery, product validation, and delivering measurable impact.
AI Engineer developing and deploying AI/ML solutions using Azure technologies. Collaborating with cross - functional teams and implementing CI/CD pipelines in a responsible AI environment.
Principal AI Engineer at Humana focused on enterprise platform strategy and AI systems design. Leading development of agentic AI platforms and influencing architectural direction.
AI Developer Technology Engineer designing and optimizing GPU - accelerated workloads for financial markets at NVIDIA. Collaborating with technical experts to analyze and improve performance of complex AI applications.
AI Engineer at Maki building AI - powered talent acquisition and management solutions. Collaborating on AI features, evaluating models, and ensuring compliance in a hybrid role.
Head of ML/AI Platform at ZEIT Verlagsgruppe leading a new team in ML/AI development efforts. Requires expertise in cloud infrastructure, software development, and agile environments.
Director leading AI platform strategy and development at Cargill, serving employees globally with AI solutions. Overseeing the technical capabilities and guiding organizational innovation for AI.
Forward Deployed AI Engineer deploying generative models for pharmaceutical and biotech customers. Ensuring seamless integration and advocating for customer success through technical excellence and collaboration.
Associate Principal AI Engineer evolving AI platform capabilities and supporting AI adoption at Aegon. Building production - ready AI solutions while collaborating with diverse teams on business transformation initiatives.