Founding Forward Deployed Engineer

Summary

Avallon AI is a company focused on implementing AI agents for customers. They are seeking a Forward Deployed Solutions Engineer to work directly with clients, building custom solutions and ensuring maximum value from their platform through a blend of technical work and customer communication.

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 insights 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

Skills

• 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: 1-3 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
• 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

Qualifications

Must Haves

• 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: 1-3 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