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Backend Engineer

PublishedPublished: 6/14/2022
Technology

Job Description

Job Description

San Francisco, CA · On-site · Full-time Compensation: $120,000–$250,000 + 0%–2% equity

About the Company

Our client is a Series A healthcare company building the agentic intelligence layer for healthcare — AI agents that read, reason over, and adjudicate complex clinical cases in real time and push decisions directly into payer systems. The agents automate prior authorizations, already processing 10k+ requests a month and lifting provider satisfaction by 65%. The company is venture-backed and led by an experienced ML researcher.

Founded 2024 · 11–50 people (Series A; ~6-person engineering team) · Industry: Healthcare

The Role

Own and scale the backend and AI infrastructure behind an agentic clinical-decision platform, supporting rapid customer onboarding and growth in a production healthcare environment.

Tech stack: Python-centric; infrastructure-as-code (Terraform or similar); LLM / prompt-engineering and agentic tooling.

Requirements

  • Strong Python proficiency (hard requirement)
  • Hands-on infrastructure-as-code — Terraform or similar (hard requirement)
  • A working understanding of prompt engineering
  • An active GitHub contribution history
  • Currently employed in an engineering role at an established company
  • Available on-site in San Francisco five days a week

Nice to Haves

  • A competitive background in any domain (sports, esports, chess, competitive programming, Kaggle) that signals exceptional ability
  • Prior founding or early-startup experience, including founding-team membership
  • A track record of high agency and strong decision-making
  • Experience with browser automation
  • Active open-source contributions
  • IC strength with the potential to grow into people management

Why Join

  • Real traction, fast: past $1M+ revenue within four months of commercialization, 10x ARR over the last six months, targeting eight-figure ARR by year end — with engineering capacity as the primary growth constraint
  • High ownership on hard problems: architect AI-native systems end to end and ship agentic systems processing clinical data at scale
  • A path to leadership: build and manage your own engineering team as the company scales
  • Elite team and resources: work alongside ex-founders, operators, and clinicians from top labs and big tech; ample GPU, latest hardware, and AI coding assistants provided

Details

  • Location — San Francisco, CA
  • Work policy — On-site, 5 days/week
  • Compensation — $120,000–$250,000 + 0%–2% equity
  • Visa sponsorship — Available (H-1B, O-1, OPT; transfers supported)
  • Employment type — Full-time