Founding Forward Deployed Engineer

Avallon•New York, NY

9h•Onsite

About The Position

Avallon builds AI agents that run the full claims lifecycle, from intake to settlement, so teams can move faster, eliminate busywork, and get more right. We are looking for Forward Deployed Engineers who combine technical depth with customer obsession. You'll work directly with customers to implement our AI agents, building custom solutions and ensuring our customers extract maximum value from our platform. This role sits at the intersection of engineering and customer success. You'll write code, design integrations, and tune AI systems, all while maintaining direct relationships with the people using what you build. Expect to spend 30-50% of your time on hands-on technical work, with the remainder on customer communication, project management, and implementation strategy.

Requirements

Customer focus with technical backbone: You can hold a technical conversation with a CTO and explain AI capabilities to a claims manager. You care deeply about customer outcomes, not just technical elegance.
Builder mentality: 2-5 years building or implementing technical solutions. You have foundational coding skills in Python or TypeScript—enough to build integrations, debug issues, and understand system architecture.
Communication skills: You can explain complex technical concepts clearly to non-technical stakeholders. You write well, present confidently, and know when to simplify and when to get technical.
Extreme agency: You thrive in ambiguity. When blockers appear, you find solutions. You don't wait for perfect requirements—you gather context, make intelligent decisions, and move fast.
API and integration fluency: Experience working with REST APIs, webhooks, and third-party integrations. You've connected systems together and understand data flow across platforms.
Project management: You can manage multiple customer implementations simultaneously, prioritize ruthlessly, and deliver under tight deadlines without sacrificing quality.

Nice To Haves

AI/ML/Data Science experience: Hands-on work with LLMs, prompt engineering, RAG systems, or agent frameworks. You understand what AI can and cannot do reliably.
Top consulting background with technical undergraduate degree
Full-stack capabilities: Comfortable working across the stack—React, Node.js, PostgreSQL, cloud infrastructure.
Low Code Experience with tools (Zapier, Make, Retool)
Voice AI systems: Knowledge of telephony platforms (Twilio, Vapi, LiveKit) and real-time communication systems.
Domain expertise: Background in insurance, claims operations, or other complex operational workflows in traditional industries.

Responsibilities

Own the technical relationship from first demo to production deployment.
Understand each customer's workflows and configure our AI agents to fit their operational needs.
Build custom integrations, APIs, and workflows that connect our voice AI and document agents to customer systems (claims management platforms, CRMs).
Prompt engineering, voice customization, and agent behavior refinement based on real customer usage patterns and feedback.
Channel insight from customer usage back to our product and engineering teams to shape our roadmap.
Guide customers through complex decisions about AI agent design, workflow automation, and system integration.