About the role

We're looking for Forward Deployed Solutions 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.

What you'll work on

• Customer implementation: 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.
• Solution engineering: Build custom integrations, APIs, and workflows that connect our voice AI and document agents to customer systems (claims management platforms, CRMs).
• AI tuning and optimization: Prompt engineering, voice customization, and agent behavior refinement based on real customer usage patterns and feedback.
• Discovery and Product feedback: You'll see what works and what doesn't firsthand. Channel that insight back to our product and engineering teams to shape our roadmap.
• Technical consulting: Guide customers through complex decisions about AI agent design, workflow automation, and system integration.

Requirements

• 1–3 years of experience in customer-facing technical roles, building solutions with Python/TypeScript
• Customer-facing role at a B2B SaaS startup or banking/consulting firm
• Solutions engineer, forward deployed engineer, technical consulting, or early full-stack engineer background
• Technical undergraduate degree (e.g., Math, CS, Quant Finance)
• Proficiency in Python and TypeScript for building integrations
• Strong communication and presentation skills for technical concepts
• Experience with API integrations, webhooks, and data flow

Bonus Points

• AI/ML/Data Science experience: Hands-on work with LLMs, prompt engineering, RAG systems, or agent frameworks
• Top consulting background with technical undergraduate degree
• Full-stack capabilities across 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 in insurance, claims operations, or other complex operational workflows in traditional industries

Compensation

• Salary range: $120,000–$200,000 USD, depending on experience