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A dynamic AI technology company in Germany is seeking a talented developer to build voice AI systems that automate claims processes. The ideal candidate has over 3 years of experience in TypeScript or Python, excels in backend systems, and is eager to solve complex problems. Join a rapidly growing team focused on leveraging AI and machine learning to revolutionize the claims industry.
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 $4.5M 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 MIT, Cornell 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.