Software Engineer

Posted 15 Days Ago
New York City, NY, USA
In-Office
Junior
Artificial Intelligence
The Role
Ship product features and fix bugs across Lava's surfaces. Extend the Gateway and monetization systems (metering, billing, payouts). Write tests and improve reliability. Pair with founding engineers to learn the codebase and take increasing ownership. Move fast, adapt to ambiguity, and help shape culture and processes at an early-stage startup.
Summary Generated by Built In
Software Engineer (NYC)Lava: the connector to every LLM, API, and MCP.

Join Lava's team in shaping how people and AI build, monetize, and work together.

About Lava

Lava is a universal connector to every LLM, API, and MCP, powering an integrated workspace and productivity with no key sprawl to manage. Lava also gives developers and businesses a way to get paid for the agents and services they list in the gateway, with no billing stack to build.

  • The Lava app puts an agent inside the real apps people already use, so it can act across them instead of just describing what to do.
  • You describe the task in plain language and the agent handles the workflow.
  • Lava MCP drops that same access into AI tools.
  • One connection to 200+ providers.

Build is Lava's monetization tool. Developers plug into the Gateway to route calls and set flexible pricing strategies. Lava handles the entire revenue lifecycle, metering, access control, and payouts, with zero code required on the merchant's side.

Our mission is to make it effortless for people and AI to work together. We're looking for early engineering hires to help define how and what we build.

What You’ll Do
  • Ship features and fix bugs across the Lava’s surfaces.
  • Help extend the Gateway and monetization systems (metering, billing, payouts).
  • Write tests, clean up rough edges, and help keep the products reliable as more people use them daily.
  • Pair with founding engineers to learn the codebase and take on more independent ownership over time.
  • Move fast, adapt to ambiguity, and help shape the culture and processes from day one.
What We’re Looking For
  • 1–3 years of professional software engineering experience, or equivalent depth from internships and independent projects.
  • Comfortable with TypeScript/Node.js and able to ship production code with guidance from more senior engineers.
  • Solid grasp of API design, data modeling, and testing, deep systems design experience isn't expected yet.
  • Hands-on AI user who experiments with AI tools and has used an LLM API at least once.
  • Experience with payments, infrastructure, or developer tooling is a plus, not a requirement.
  • Resourceful and self-motivated, and comfortable in an early-stage, fast-changing environment.
Why You’ll Love This Role
  • You'll be solving one of the hardest and most important problems in AI: building the infrastructure that connects and monetizes AI-native products.
  • Work in a small, tight-knit, and highly motivated team that stays focused on outcomes, without unnecessary process or distractions.
  • Work directly with a founder who's built and sold a fintech company before, now doing it again at the center of the AI shift.
  • Be part of a company operating at the cutting edge of AI, where speed, ownership, and impact matter more than process.
  • The media is already excited about what we’re building: read our TechCrunch feature here.
  • Significant influence over technical and product decisions from day one.
  • Help shape how the trust layer, access layer, and financial backbone of the AI web get built.
Location & Work Authorization
  • This is an in-person role based out of Lava’s New York City office.
  • Candidates must currently be authorized to work in the United States; Lava is unable to sponsor visas at this time. 

If you’re excited about owning big problems, building products people need, and having a direct hand in how the future of AI commerce works, we’d love to talk.

Skills Required

  • 1-3 years of professional software engineering experience or equivalent
  • Comfortable with TypeScript and Node.js and able to ship production code
  • Solid grasp of API design, data modeling, and testing
  • Hands-on AI user who has used an LLM API at least once
  • Experience with payments, infrastructure, or developer tooling
  • Resourceful, self-motivated, comfortable in an early-stage, fast-changing environment
  • In-person work in New York City office
  • Must currently be authorized to work in the United States; employer cannot sponsor visas
Am I A Good Fit?
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The Company
Year Founded: 2025

What We Do

Lava is building the financial and credit infrastructure for the AI economy, creating a universal payments and data infrastructure layer for the AI internet to enable seamless monetization and transactions for AI services.

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