Lava Logo

Lava

Software Engineer

Reposted 2 Months Ago
In-Office
New York City, NY, USA
Junior
In-Office
New York City, NY, USA
Junior
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.
The summary above was generated by AI
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.

Similar Jobs

Yesterday
In-Office or Remote
USA
Entry level
Entry level
Aerospace • Hardware • Robotics • Software
Build a high-performance frontend data platform for exploring and analyzing hardware telemetry. Develop React and TypeScript applications, interactive time-series visualizations, data visualization plugins, complex application state management, and LLM-assisted analysis workflows. Collaborate directly with hardware engineers and customers to define interfaces, prototype workflows, demonstrate features, and incorporate feedback into product development.
Top Skills: LlmsReactTypescript
2 Days Ago
Hybrid
New York, NY, USA
81K-116K Annually
Mid level
81K-116K Annually
Mid level
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Design, build, and deploy cloud-native applications and platforms using AWS and GCP. Develop APIs, reusable services, automation, and agentic AI solutions while supporting generative AI applications. Apply infrastructure as code, containerization, DevSecOps, security, resilience, and performance standards. Collaborate with engineers, architects, data scientists, product teams, and business partners in an Agile environment, contributing to technical standards and architecture evolution.
Top Skills: APIsAWSDevsecopsEcrEksGCPGitGoogle AdkHarnessJavaScriptJIRALangchainLlmsPythonTerraformTypescriptVector Databases
2 Days Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
131K-169K Annually
Junior
131K-169K Annually
Junior
HR Tech • Payments • Professional Services • Software
Build and operate developer-facing experiences, including portals, documentation tooling, SDKs, quickstarts, code samples, and integration templates. Support partner API integrations, write tests and documentation, participate in debugging and design reviews, and collaborate across Engineering, Product, Partnerships, Sales, and Support. The role requires strong software engineering fundamentals, API experience, clear communication, and an interest in developer tools and user experience.
Top Skills: Automated TestingAWSContainersGoHttp ApisJavaScriptOauthObservability ToolingOidcOpenapiPythonRubyTypescriptWebhooks

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account