Baton
Software Engineer
New York City
Sponsorship not specifiedDetected 51 days ago
TypeScriptPythonReactFull-Stack DevelopmentAlgorithmsGraphQLMachine LearningNLPLLMsAgentic AIValuationCommunicationCollaboration
About the role
- Your work will directly impact how thousands of owners navigate one of the biggest financial moments of their lives.
- This is not a papers-and-prototypes role, it's product engineering with real AI systems.
- AI isn't a separate track at Baton, it's embedded into how product is conceived, built, shipped, and improved.
Responsibilities
- Own 0-to-1 projects, collaborating with our sales & operations teams to identify high-leverage opportunities and build intelligent capabilities
- Build and improve agentic infrastructure that supports production-level inference, evaluation, and monitoring
- Develop tools and systems that scale - from intelligent matching to document understanding and agentic workflows that transform our marketplace
- We build agentic systems that handle real customer interactions and business workflows end-to-end.
- At Baton, we're building the AI-native platform that makes small business transitions transparent, fast, and fair as we support the millions of baby boomers who have poured their life into their small business.
- Ownership from day one - As a small, lean team, every hire carries outsized impact; from shaping product direction to building a culture of customer-first execution.
- Engineers here use AI as a force multiplier in their own work and in what they ship - and we take the craft of production AI seriously.
- How we build AI at Baton: We build agentic systems that handle real customer interactions and business workflows end-to-end.
- We care about shipping quickly and building systems that hold up in the real world.
- We build in person in NYC because this work moves faster and gets better when the team is in the room together.
Nice to have
- Experience with modern AI frameworks and building multi-step agentic systems with tool use, planning, and human-in-the-loop patterns
- Experience designing evaluation suites for LLM systems (offline + online), including rubric-based and model-graded evals
- Experience operating LLM systems at scale-latency, cost, caching, fallbacks, rate limits, reliability
- Familiarity with retrieval quality work-chunking, reranking, query rewriting, relevance tuning
- Marketplace, platform, fintech, or small business background with understanding of matching algorithms or business transactions
- Familiarity with Go, GraphQL, or React/TypeScript
- Background in NLP, information retrieval, or recommendation systems
- You'll thrive here if you:
Skills
- Shipped and owned production AI systems end-to-end (LLM and/or classic ML) - real users, measurable outcomes, operational responsibility
- Strong software engineering fundamentals with excellent Python skills and experience integrating foundation models in production
- A track record of shipping - you've taken ambiguous problems from concept → production and can point to impact
- Comfort in ambiguity - you thrive with limited structure and turn uncertainty into clarity
Compensation
- Competitive compensation & perks — Expect market‑competitive pay, equity, fully-covered health benefit options, flexible time off, commuter perks, in-office snacks, and a true culture of low ego and high respect.
Benefits
- Employer contribution for all healthcare options
- 401k plan / short-term disability
- Four weeks of paid time off, generous sick leave, and six weeks of flexible Work From Anywhere days
- On-demand mental health support from Spill
- Parental leave program
- Competitive compensation & perks - Expect market‑competitive pay, equity, fully-covered health benefit options, flexible time off, commuter perks, in-office snacks, and a true culture of low ego and high respect.
Company info
- We're looking for someone who has:
This listing is sourced directly from Baton's careers page and normalized into a canonical job model.