ClarityCare AI — Backend Engineer

ClarityCare AI — Backend Engineer Type: Full-time | On-site (5 days/week) | San Francisco, CA Compensation: $120,000–$250,000 + 0%–2% equity Hiring count: 4 Visa sponsorship: Yes — H-1B, O-1, OPT (transfer/sponsorship offered) Reports to: Not specified in source About ClarityCare AI ClarityCare AI is 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. Their agents automate prior authorizations, already processing 10k+ requests/month and lifting provider satisfaction by 65%. Venture-backed by top SF investors and led by an MIT ML researcher. Founded: 2024 | Team size: 11–50 (6-person engineering team) | Stage: Series A Industry: Healthcare Website: https://www.claritycare.ai/ Office: San Francisco, CA Why Candidates Should Join Real traction, fast: Crossed $1M+ revenue within 4 months of commercialization; 10x'd ARR over the past 6 months and targeting 8-figure ARR by year end. Engineering capacity is the primary growth constraint — high leverage for the person who joins. High ownership on hard problems: Architect AI-native systems end-to-end, own critical backend infrastructure, and ship agentic systems processing clinical data for millions of patients. Path to leadership: Opportunity to build and manage your own engineering team as the company scales. Elite team + resources: Work alongside ex-founders, operators, and clinicians from MIT, Stanford, Berkeley, Meta, Google, Microsoft, and OpenAI-backed startups. Lots of GPU, latest Mac, and AI coding/chat assistants provided. Intake Call Summary Not provided in source. An intake video is present on the role page but no transcript or written summary was available to parse. (Do not fabricate — pull from the video separately if needed.) 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. What You'll Be Doing Architect and deploy AI-native systems to support large data volumes via API Shape the next product iterations end-to-end, integrating first-hand customer feedback Build reliable and secure agentic infrastructure for processing clinical information of millions of patients Work with an A* team of ex-founders, operators, and clinicians Tech stack: Not specified in source (Python-centric; infrastructure-as-code via Terraform or similar; LLM/prompt-engineering and agentic tooling implied). Requirements Proficient in Python (hard requirement) Infrastructure as code experience (Terraform or similar - hard requirement) Understanding of prompt engineering Strong GitHub contribution profile with active commits Currently employed in a role at an established company (not unemployed, not running own consultancy) Must be available to work in-person 5 days per week in San Francisco Green Flags Competitive background in any domain (sports, esports, chess, coding competitions, Kaggle, etc.) - shows extraordinary ability Prior founding experience or startup experience Founding team member experience High agency and strong decision-making track record Experience with browser automation Active open source contributions Mix of IC skills with people management potential Red Flags Not currently employed Running own consulting company rather than working at established company Short tenures/frequent job hopping Arrogant attitude Dishonesty or lying (especially about using AI tools like Claude during interviews) Only doing code reviews rather than hands-on coding Lack of personal projects or side work Role Details Salary — $120,000–$250,000 Equity — 0%–2% On-site policy — In-person, 5 days/week Visa sponsorship — H-1B, O-1, OPT Employment type — Full-time Experience — 1+ years Location — San Francisco, CA Benefits & Perks: Stock options · Health benefits (+dental & vision) · Unlimited PTO · Friday lunches in SF office · Visa transfer/sponsorship (H-1B, O-1) · Latest Mac laptop · Lots of GPU · Coding assistant + chat-based assistant Screening Questions None present in source. (Interview process is captured below; no separate screening-questions section was on the role page — do not fabricate.) Interview Process Stage 1 — Pending Approval — Candidates awaiting initial approval. Stage 2 — Initial Technical Screen — Technical screening with Alex. Stage 3 — Live Coding Challenge — Hands-on coding assessment. Stage 4 — Cultural Fit Interview — Culture and team fit discussion with Hermione. Stage 5 — On-site Trial — Half-day to full-day on-site working session (unpaid, flexible duration). Stage 6 — Offer Extended Stage 7 — Candidate Hired — Candidate accepts and starts. Ideal Companies & Backgrounds Parsed from role page — 7 companies listed, no collapsed section. Ideal companies — Palantir, Walmart, CVS, Target, Cloudflare, VMware, AWS