Baton (baton.market)

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.

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.

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:

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

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.

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.

This listing is sourced directly from Baton (baton.market)'s careers page and normalized into a canonical job model.