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

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

• 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.

• 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.)

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.

• →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).

• 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

• 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

• 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

• 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

• None present in source. (Interview process is captured below; no separate screening-questions section was on the role page — do not fabricate.)

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.

Parsed from role page — 7 companies listed, no collapsed section. Ideal companies — Palantir, Walmart, CVS, Target, Cloudflare, VMware, AWS