Note: The job is a remote job and is open to candidates in USA. Brightwheel is a vertical SaaS company providing a platform for early education programs to manage enrollment, billing, staffing, classroom planning, and family communication. The Principal AI Software Engineer will design and build AI solutions for go-to-market teams, develop AI services and agent workflows, and lead end-to-end product delivery from discovery through production iteration.
Responsibilities
- Own meaningful problems from discovery through launch, measurement, and iteration
- Use AI to improve both how you build and what brightwheel can deliver
- Prototype quickly, validate assumptions, and use working software to create clarity
- Raise the bar for quality, reliability, security, privacy, observability, and execution
- Design and build cross-cutting AI services (such as retrieval, context, evaluation, and guardrails) that power go-to-market operational workflows, optimizing the efficacy of internal teams
- As a hybrid PM+Eng+Data builder: own the end-to-end product loop for the problems you take on: talk to customers and internal teams, define the success metric, design the workflow and user experience, shape the data and evaluation plan, and ship iterative releases from prototype to reliable, scalable production
- Create shared abstractions and tooling for AI - for example, common prompt and tool patterns, logging and monitoring, and reusable components - so other engineers can build on a consistent foundation
- Shape our data and system architecture so AI can safely stitch together longitudinal signals across product, billing, support, and operations and recommend what should happen next, not just report what happened
Skills
- Have 8+ years of professional software engineering experience
- Have strong engineering fundamentals and can reason across systems, data, APIs, product surfaces, and infrastructure
- Have owned production work from problem definition through launch and iteration
- Use AI tools and agents as a real part of your engineering workflow, not as a novelty
- Can explain how you have increased your own velocity without lowering your quality bar
- Have examples of automating your own work, your team's work, or broader company workflows
- Are comfortable operating in ambiguity and turning unclear problems into shipped software
- Communicate clearly and work well across functions
- Care deeply about privacy, security, reliability, and customer trust
- Experience shipping AI-powered products, workflows, or internal tools to production
- Experience with retrieval, tool use, evaluation, monitoring, orchestration, or agent workflows
- Experience in vertical SaaS, education, fintech, healthcare, CRM, ecommerce, or another operations-heavy domain
- A portfolio of personal projects, internal tools, open-source work, writing, demos, or side projects that shows builder energy and taste
- Experience building AI powered systems
- Experience collaborating with internal customers; not only building out what is asked, but building out novel solutions that amplify those customers' capabilities (thinking creatively to meet business objectives)
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