About the role
Location: San Francisco, CA
Work Model: Onsite (fully in-person)
Industry: AI for enterprise insurance
Compensation: $165K-$250K base, plus competitive Series A equity
About the Company
Our partner is a fast-growing, Series A AI company backed by top-tier investors, automating end-to-end insurance claims processing for the largest carriers. Revenue has grown roughly 50% month over month, the team has scaled to around 70 people, and it is on track to more than double by year end. Engineering is Python-heavy and deeply agentic. The culture is fast, feedback-rich, low on bureaucracy, and fully in-person.
The Opportunity
Our partner is hiring backend Software Engineers to build the core of an AI system that processes insurance claims end to end. The stack is Python-heavy and deeply agentic, and the mandate is to hire engineers who can do the work without AI and then hand them AI to move faster. You will own hard problems end to end, ship quickly, and operate with unusual autonomy on a team that runs an honest, high-feedback culture.
Responsibilities
- Build and ship backend systems across product and infrastructure in Python
- Design and improve agentic AI workflows
- Own problems end to end under fast deadlines
- Raise the technical bar through a strong feedback culture
Requirements
- 1-7 years of software engineering experience (strong internships considered for newer grads)
- Strong Python and backend fundamentals
- High agency, ownership, and a strong work ethic
- Standout signals: a top technical school, 0-3 years at a leading tech company, fast-scaling startup experience, or competition accolades (for example, ICPC or IOI)
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