TriFetch — Forward Deployed Engineer

TriFetch — Forward Deployed Engineer Type: Full-time | On-site | San Francisco, CA Compensation: $150,000–$200,000 + Competitive Equity Hiring count: 1 Visa sponsorship: Yes — H-1B (including transfer), O-1, OPT Reports to: Founder About TriFetch TriFetch develops AI solutions for repetitive healthcare tasks — from AI phone agents for appointment scheduling/rescheduling through prior authorization. Built for private practices and specialty clinics, their highly customizable solutions deploy within hours and integrate directly into existing clinic workflows without requiring system migrations ("Palantir for Healthcare"). They have four live pilots and a waitlist of 10 additional clinics. Founded: 2025 | Team size: 5 | Total funding: $2M pre-seed (angels, including a founder of Hippocratic AI) Industry: Healthcare AI Website: trifetch.ai Office: San Francisco, CA Why Candidates Should Join Ground-floor ownership: Own client accounts end-to-end from first call through implementation and ongoing support, with meaningful autonomy over assigned accounts, reporting directly to the founder. Real traction on day one: Four live pilots plus a 10-clinic waitlist in one of the most underserved markets in tech. Blended technical + client role: A genuine forward-deployed seat — up to 70% hands-on engineering, 30% client-facing — not a pure back-office or pure account-management job. Backing & pedigree: $2M pre-seed from angels including a founder of Hippocratic AI; founded by two PhD-trained engineers. Visa sponsorship supported (H-1B transfer, OPT, O-1). Intake Call Summary No intake call transcript available. The role page includes an intake video only (no text summary to parse). The Role TriFetch is hiring a Forward Deployed Engineer to own client accounts end-to-end — joining first calls as leads come in, handling implementation, and owning the relationship going forward. The role is genuinely blended, with a hard ceiling of 70% technical / 30% client-facing ; candidates leaning more client-facing than that ratio are not a fit. The stack is a Tauri/Rust desktop client with a Python cloud backend on AWS/GCP and Node.js on the frontend. Rust experience is not required despite the desktop client running on it — what matters is a systems-thinking mindset, a strong willingness to dive into Rust when needed, and an understanding of how desktop applications interact with OS-level resources and cloud services. Fluent English and clear communication are required (accent is not a factor). What You'll Be Doing Own client accounts end-to-end: first call through implementation and ongoing support Build robust, scalable Python backends and APIs at a production level Take ownership of cloud infrastructure (AWS/GCP): CI/CD pipelines, containerization, deployment strategies for Python/AI services, and monitoring/alerting Travel to client sites as needed (roughly 30% of the role) Fix issues directly when things break in production; be reachable when production issues arise Balance technical depth with clear, direct client communication Tech stack: Python cloud backend (AWS/GCP) · Node.js frontend · Tauri/Rust desktop client · CI/CD · containerization Requirements 2+ years SWE experience Deep production Python backend and API experience Up to 70% technical / 30% client-facing AWS/GCP, CI/CD, Node.js; Rust systems-thinking a plus SF 5 days in-person, ~30% travel Green Flags Direct, specific communicator who dives into technical detail rather than staying vague or high-level Strong ownership mindset: treats issues in their account as their responsibility to resolve Healthcare or clinic-adjacent industry experience Experience building and deploying voice AI agents or computer use agents in production, not just experimenting with them Systems thinker comfortable moving between backend, cloud infra, and desktop/OS-level concerns Red Flags Vague, high-level answers that avoid technical specifics when pressed Avoids ownership or responsibility when something goes wrong Wants strict work-life balance; not a fit for the pace and on-call expectations of this role Uncomfortable with the 70/30 technical-to-client-facing ratio in either direction Details Location: San Francisco, CA Work policy: In-person 5 days/week; ~30% travel Compensation: $150,000–$200,000 + equity Visa sponsorship: H-1B (incl. transfer), O-1, OPT Employment type: Full-time Screening Questions None specified on the role page. Interview Process Stage 1 — Pending Approval — Candidate awaiting Contrario initial approval. Stage 2 — Initial Call (20 min) — Backend and AI experience overview. Stage 3 — Technical Interview (1 hour) — 30 min live coding (Python backend) + 30 min system design. Stage 4 — Offer Extended Stage 5 — Candidate Hired — Candidate accepts and starts.