Founding Software Engineer

Avallon creates AI agents that make claims operations teams an order of magnitude more efficient. We grew revenue 10x in 3 months during Y Combinator, raised from top investors and are scaling fast. Join us in putting AI to work in this $100B opportunity in insurance claims.

Claims operations are perfect for AI: repetitive work, high costs, and an aging workforce. We're automating everything from intake to settlement using voice AI and machine learning, creating AI agents that handle entire workflows autonomously.

We're a team of engineers and operators with deep industry experience. We've scaled technology in complex, traditional industries and built products trusted by Fortune 500 companies. Our backgrounds span top institutions like Cornell and HSG, and our work includes published research in NLP.

• Engineering mindset: We apply engineering principles to solve all challenges, technical or otherwise.
• Extreme agency: We act decisively, take ownership, and drive outcomes.
• Simplicity is sophistication: We strip away complexity to focus on what matters.
• Candid communication: We speak clearly and build trust through openness.

Avallon is backed by top venture capital firms including YC, Frontline, 1984, Liquid 2, and Boom, enabling us to hire the best and compensate accordingly.

• Comp: We offer premium compensation packages because we understand the outsized results that come from small, talent-dense teams.
• Health: We cover 100% of medical, dental, and vision insurance, along with a generous monthly gym stipend.
• Office: We highly value in-person and have a gorgeous office in Williamsburg, NYC.
• Meals: We provide lunch and dinner every workday from local restaurants.
• Retreats: We prioritize quarterly off-sites to help our teams recharge and refocus.

Insurance is one of the largest industries in the world, and it still runs on manual work nobody wants to do. Claims is the clearest case: high-volume, repetitive workflows handled over the phone, by email, and across 200-page PDFs, most of it sitting in systems built in the early 2000s. Software has circled this problem for decades without touching the core of it, because nothing could make the calls or read the documents. AI finally can. Avallon builds agents that run the full claims lifecycle, from intake to settlement, so teams can move faster, eliminate busywork, and get more right.

Out of YC we went from zero to seven figures of ARR in twelve months, and are now growing 3X quarter over quarter while working with some of the largest carriers in the world. Avallon is backed by top investors, and our founding team includes builders from MIT, Harvard, and CornelI. We aim to become the automation layer for the entire insurance industry, and we intend to get there with a talent-dense team where everyone is enabled to do best work of their careers.

We're hiring our Founding Software Engineers to own the foundation on which every agent and product at Avallon is built. We have autonomous voice and worker agents in production replacing thousands of manual tasks everyday, adapting to brand new scenarios, and serving the world's largest insurance carriers.

The agent execution platform, the core harness powering every agent at Avallon: turn handling, tool orchestration, session lifecycle. You own provider routing, multi-provider failover, cost optimization, latency-aware model selection. You build the eval platform that catches regressions before customers do: per-run evals, canary deployments, automated regression detection. And you own the developer platform that unlocks team velocity with coding agent workflows, internal tooling and CI/CD.

A forward-deployed engineer sits with a customer on Monday, surfaces a pain, and hands it off to you. By Friday, you’ve specced the solution, assigned a coding agent to build it, reviewed the output, and shipped it. That’s not aspirational, that’s the current cycle. We design systems, write technical specs, and orchestrate AI agents to execute.

• Comfortable in a founding role as you shape the platform and the product direction.
• High agency, full ownership. You’re the driver, not a contributor.
• TypeScript, SQL, 4+ years building production software.
• Built reliability infrastructure with retries, circuit breakers, graceful degradation and observability.
• Regulated or security-sensitive environment experience. Every action needs a trail.
• Based in NYC or willing to re-locate.

• Eating well: We provide lunch and dinner every workday from local restaurants.
• Staying healthy: 100% of medical, dental, and vision insurance covered, along with a generous monthly gym stipend.
• Getting out of the office together to recharge: quarterly offsites somewhere you actually want to go.
• And our favorite: unlimited token budget. No caps, no rationing, no "can you try a smaller model." Build with whatever makes you fastest.

Insurance claims operations are full of manual calls and document processing. We are abstracting that complexity with an AI‑native stack that turns raw claim data into automated resolutions using voice and document processing agents.

• TypeScript across backend and frontend
• Node.js for backend services
• React with Tailwind
• Supabase db operations
• AWS storage and hosting
• Vercel builds and deployments

• Full‑cycle claim automation – submission, status checks, appeals, and payment posting with minimal human touch
• Unstructured‑to‑structured conversion – mapping faxes, PDFs, and phone calls to payer‑specific data models via AI
• Scalable data ingestion – normalized EDI 837/835, EMR exports, and third‑party APIs without bespoke glue code
• Agentic workflows – autonomous systems that coordinate across humans, APIs, and browser UIs with retries, audit trails, and memory
• Reg‑grade reliability – encryption, access controls, and audit capabilities that satisfy HIPAA and SOC2 in production

1. Intro with Founder

• Focus on culture fit
• Discuss interest in Avallon
• Learn about the candidate’s past projects
• Share background on the founding team

2. Technical Interview (1.5 hours)

• General software engineering questions
• Best practices discussion
• Walk through a sample repository full of bad practices and ask candidates to identify and improve them

3. Final Round

• Culture fit conversations
• Meetings with other team members