Forward Deployed Engineer
$110,000–$180,000 year
On-siteSan Francisco, California, United States
Job Summary
Own customer deployments end to end, from scoping messy, undocumented workflows to shipping production AI agents that run live inside agency operating systems. Build integrations into existing systems, extracting tribal knowledge from agency owners and translating it into concrete technical designs. Diagnose and resolve customer issues directly, shipping quick fixes and small customizations to ensure adoption. Maintain tight cadence with clients to surface expansion opportunities and feed failure patterns back into the core platform. Travel regularly to customer sites to ensure successful deployments. This role sits at the intersection of engineering, product, and customer success for an insurtech startup building AI agents that handle real operational work.
Required Qualifications
- 2+ years shipping production code in Python
- At least one AI application deployed to real production users, with experience designing and iterating evals for real-world performance
- Proficiency with APIs, system integrations, and working across multiple interconnected systems
- US citizenship (no visa sponsorship available)
- Hands-on experience with LLMs, prompt engineering, and AI agent development
- Experience with voice or telephony stacks (Twilio or similar)
- Proven ability to reverse-engineer undocumented systems, work with incomplete documentation, and integrate with legacy or poorly-documented APIs
- Track record of owning projects end to end — from discovery through production deployment and user adoption
- Experience working at an early-stage startup or taking full ownership of ambiguous projects without an established playbook
- Ability to translate domain-specific tribal knowledge and unwritten workflows into concrete technical system designs
- Strong communication skills — comfortable translating between technical and non-technical stakeholders without losing clarity
- Willingness to travel to customer sites
Desired Qualifications
- Experience fine-tuning models or building custom AI evaluations
- Experience with speech-to-text systems (e.g. Whisper API)
- Domain knowledge in insurance, financial services, or B2B SaaS operations
- Experience building reusable connectors, configuration layers, or platform abstractions for multi-customer deployments
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