About us

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.

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, MIT, and HSG, and our work includes published research in NLP.

About the role

What you'll work on

• Build voice AI systems and document agent workflows that handle millions of claims - working with the latest AI technology as it emerges.
• Forward-deployed engineering - Work directly with customers to understand their workflows and build solutions that eliminate friction.
• Ship production TypeScript/Python code that processes real claims.
• Design APIs, data models, and integrations with claims management systems.

What you'll need to bring

• Extreme agency: More than anything, we want to see a hunger to learn and a tenacity to solve problems. You thrive in ambiguity and early-stage building excites you.
• Proven builder: 3+ years shipping production systems users depend on in TypeScript, Python or Go.
• Backend expertise: REST, databases (PostgreSQL, Vector DBs), cloud systems (AWS, GCP), Docker, and architecture.
• Domain modeling fluency: You can translate complex business workflows into elegant technical systems and data models.
• Context over dogma: To you, engineering is about making high IQ trade-off decisions. You may care deeply about code quality, but you're not dogmatic and know when it's time to ship.

Bonus Points

• Voice AI systems: Knowledge of voice platforms and telephony (Vapi, LiveKit, Twilio, Sip Trunking).
• Productizing LLMs: Experience with agents, limitations, robustness, tools, and function calling Experience with RAG pipelines, document processing, vector databases, and semantic search systems. Experience with LangGraph, Indexing.
• Tech Stack Experience: Previous work with Supabase, TypeScript, NextJS, Vercel, Docker, AWS, CI/CD pipelines, and GitHub Actions.

We offer

Avallon is backed by YC and other top venture capital firms, enabling us to hire the best and compensate accordingly.

• Impact: Engineer fully autonomous agents that process millions of claims.Your code will process millions of real claims.
• Excellence: We build small, talent-dense teams and compensate them well to do their best work with us and win.
• Learning & Growth: Work at the cutting edge of AI technology. Solve complex problems others haven't tackled yet. Stay current with the latest in voice AI, LLMs, and agent systems while building production systems that push the boundaries of what's possible.
• Culture: No-nonsense, in-person collaboration in NYC. Direct access to founders, fast decisions, and the energy of building something transformative.
• Compensation - Significant equity, competitive salary
  • Salary: $130,000 - $200,000
  • Equity: 0.5% - 1.5%
• Benefits:
  • 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.

If this excites you, we'd love to hear from you.

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