Work model: On-site, 5 days/week Employment: Full-time Experience: 4+ years Base salary: $180K–$280K + equity + quarterly performance bonuses Visa: Open to visa transfers (including OPT / H-1B transfers)
About the role
We are looking for a Product Engineer with 4+ years of experience to build and own AI-powered products that directly impact business KPIs.
This is a highly product-oriented engineering role: the engineer will work directly with sales, service, underwriting, and operations teams, identify business problems, turn them into scalable technical solutions, and ship extremely quickly.
The company operates at a very fast pace — prototypes and production features are expected to ship within hours or the same week rather than over long development cycles.
Key responsibilities
Own one or multiple business KPIs end-to-end and drive measurable improvements through technology.
Work directly with non-technical stakeholders across sales, service, underwriting, and operations.
Translate business problems into scalable product and engineering solutions.
Design and build AI-powered and agentic systems, including RAG, MCP, AI agents, and automation.
Build across the full stack, rather than focusing exclusively on backend or frontend.
Prototype, ship, measure, and iterate extremely quickly.
Support production systems and participate in on-call responsibilities.
Must-have profile
4+ years of software/product engineering experience.
Strong hands-on engineering skills in Python and/or TypeScript.
Experience building production AI/LLM applications, ideally including:
RAG
AI agents / agent frameworks
MCP
workflow automation
Strong product mindset — comfortable owning a business outcome/KPI, not just completing engineering tickets.
Experience working directly with business or non-technical stakeholders.
Ability to work across the stack and independently take a problem from idea prototype production.
Comfortable working in a very high-speed startup environment.
Willing to work 5 days per week from the San Francisco office.
Comfortable supporting live systems / participating in on-call.
Strong plus
Experience with Voice AI.
AWS and/or GCP.
Experience using AI coding tools such as Cursor and Claude Code as part of the daily development workflow.
Startup / early-stage company experience.
Experience building internal tools or automation for sales, operations, underwriting, customer service, or other business teams.
Insurance / InsurTech experience.
Tech stack
Core: Python, TypeScript AI: RAG, Agent Frameworks, MCP, Voice AI Cloud: AWS / GCP AI development tools: Cursor, Claude Code
About the client
Our client is an AI-native commercial E&S insurance brokerage founded in 2024. Its proprietary technology supports the brokerage workflow from prospecting and quoting through binding and servicing.
Team: ~60 employees Industry: Insurance / AI Funding: $47M Location: San Francisco Bay Area
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