Senior/Staff Software Engineer Lead

### Who you are
- This is a 0→1 role for an engineer who wants to ship production AI systems quickly, work across complex healthcare and logistics data, and build tools that directly improve patient outcomes
- Built and shipped production software end-to-end in fast-moving environments
- Worked with AI/ML systems such as LLMs, RAG pipelines, embeddings, or applied NLP
- Navigated ambiguity and iterated quickly with tight feedback loops
- Designed systems with an eye toward scalability, tradeoffs, and real-world constraints
- Collaborated with cross-functional teams to deliver impact
- (Bonus) Worked with healthcare data formats like FHIR, HL7, or clinical documentation
- You’ve shipped AI products—not just prototypes or research demos
- You’ve built systems that interface with real users or complex workflows
- You’ve operated in early-stage or 0→1 environments with high ownership
- You understand reliability, iteration speed, and production safety
- You’re motivated by solving real problems for real people, not AI hype

### What the job involves
- We’re building a new Automated Intelligence team to embed AI into every layer of our care model—from clinical summaries and patient risk predictions to workflow agents and patient interactions
- Build AI-powered features that improve patient care, coordination, and clinical workflows
- Develop production systems using LLMs, RAG, embeddings, and multi-agent architectures
- Ship products like clinical visit summaries, patient risk models, and voice coordination assistants
- Design workflow agents that automate scheduling, follow-ups, and operational tasks
- Collaborate with product, clinical ops, and data partners to deliver measurable results
- Help define the technical direction, tooling, and standards for a brand-new team
- Our tech stack:
- AI & Modeling
- LLMs, RAG pipelines, embeddings
- LangChain / LlamaIndex or similar
- Python
- Backend & Services:
- Node.js / TypeScript
- GraphQL / REST APIs
- AWS Lambda, AppSync, DynamoDB
- Data & Infrastructure:
- BigQuery, Elasticsearch / OpenSearch
- Airflow or similar orchestration
- Vector stores and retrieval systems
- Bonus Tools & Domains:
- FHIR, HL7, clinical notes
- Voice agents / telephony APIs
- Statsig or internal experimentation tooling

### The application process
- We aim to complete the interview process between 2-3 weeks. It will usually consist of:
- Recruiter Screen (30-Minutes)
- Technical Assessment (45-Minutes)
- Onsite Interview: Systems Design - AI Focused + Behavioral Interview + Lunch with the Team (3-hours)
- References

### Benefits
- Free lunch everyday and fully-stocked microkitchens and coffee/tea bar
- Team offsites, game hours, tech talks, and design sprints
- Health insurance benefits (PPO / HMO / HSA, 100% of family premiums paid)
- Dental / vision / wellness benefits
- 401k matching
- Unlimited PTO
- Flexible work-from-home policy for work/life balance (4 days in-office, accommodation for occasional WFH days)
- Relocation assistance
- Generous parental leave (4 months for the birthing parent, 3 months for a partner, 100% paid)