Lava Logo

Lava

Software Engineer

Reposted 28 Days 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

20 Hours Ago
Hybrid
New York, NY, USA
125K-188K Annually
Expert/Leader
125K-188K Annually
Expert/Leader
Digital Media • Information Technology • News + Entertainment
Develop and integrate scalable backend software for real-time bidding and digital advertising systems. Build RESTful APIs with Python, Django, and PHP; manage Kubernetes/EKS and AWS production deployments; participate across the SDLC, including requirements analysis, testing, deployment, and integration. Collaborate cross-functionally, troubleshoot complex issues, support system reliability, conduct code reviews, mentor engineers, and promote engineering best practices. The role is onsite in New York four days per week and may require nights or weekends.
Top Skills: Amazon EksAWSDjangoKubernetesPHPPythonRestful Apis
2 Days Ago
Hybrid
2 Locations
Mid level
Mid level
Financial Services
Designs, develops, tests, and maintains secure, scalable data pipelines and architectures. Performs data modeling, ETL, SQL and NoSQL development, statistical analysis, performance tuning, and troubleshooting. Builds production code using Python and PySpark in AWS, supports data controls and operational stability, and creates reporting and visualizations from large datasets. Applies Agile, CI/CD, TDD or BDD practices and responsibly uses AI-assisted development tools.
Top Skills: Amazon CloudwatchAmazon EcsAmazon EksAmazon KinesisAmazon S3Apache AirflowApache IcebergAvroAWSAws LambdaGithub CopilotJavaJSONKafkaKubernetesNoSQLParquetProtocol BuffersPysparkPythonSnowflakeSQLTerraformUnix
3 Days Ago
In-Office
New York, NY, USA
160K-185K Annually
Junior
160K-185K Annually
Junior
Artificial Intelligence • Fintech • Software • Financial Services
Build correctness-critical tax software, including versioned calculation graphs, e-file infrastructure, structured return extraction, temporal tax-law resolution, preparer workflows, audit trails, and regression evaluations. Operate production systems from architecture through post-launch iteration while ensuring precise, reproducible results for corporate tax filings and amendments.
Top Skills: EdgarIrs MefLlmsSQLTypescriptXML

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