We’re helping a global specialty insurance company hire a Python/TypeScript software engineer for their newly created Innovation Lab.
This is a small, hands-on team building AI-augmented software for underwriting, research, and operations. It's not theoretical work. You’ll ship usable tools that sit between legacy infrastructure and the business, with full visibility into how they’re used and why they matter.
Note: Mostly remote, but will need to occasionally meet with biz users in northern NJ.
First-Year Goals
- Design and deploy microservices that power LLM-driven workflows (agents, document parsing, RAG search, etc.)
- Build and own infrastructure-as-code pipelines in AWS (with some Azure migration ahead)
- Integrate with internal APIs and legacy systems to surface modern functionality without disrupting what already works
- Collaborate directly with business users to define requirements and prototype fast
- Become a trusted engineering voice in a lean, autonomous, senior team
- Help scale the Innovation Lab’s output without relying on additional headcount or DevOps overhead
Key Responsibilities
- Build cloud-native services in Python and TypeScript
- Work with tools like FastAPI, Hono, Bun, and LLM agents
- Handle deployments via CDK, AWS Lambda, ECS, and other cloud tools
- Own infrastructure decisions—there’s no dedicated DevOps team
- Deliver iterative, business-driven software with high visibility and low friction
- Help define technical patterns and reusable workflows for future engineers
Technical Environment
- Python (FastAPI), TypeScript (Hono, Bun)
- AWS + Azure cloud platforms
- Infrastructure-as-code using CDK and scripting
- Microservices and event-driven architecture
- LLM integration via APIs, embeddings, and custom workflows (OpenAI, RAG, etc.)
What We're Looking For
- 5–10 years of backend/full-stack experience
- Strong in Python or TypeScript (ideally both)
- Proven ability to deliver APIs, services, and production systems
- Hands-on cloud experience (AWS or Azure), with ownership over deployment
- Experience working with or integrating LLMs into tools or workflows
- Comfortable in ambiguous, fast-moving, high-accountability environments
Who This Is NOT For
- Engineers who want clear specs and Jira tickets handed to them
- People who only want to work on mature, well-defined systems
- AI hobbyists who have only dabbled with ChatGPT—not shipped real workflows
- Anyone uncomfortable owning infrastructure or collaborating directly with business users
- People looking for heavy mentorship—this is a senior, autonomous team
Bonus If You Have
- Experience in internal tools or platform engineering
- Exposure to underwriting, finance, or risk systems
- Prior startup or lean team experience
- Experience with LangChain-style architectures or vector search
This is a career-shaping opportunity for someone who wants to build what’s next, without waiting on committees or asking for permission. You’ll be one of the first 5 engineers shaping a new division, reporting directly into the leadership team, and solving real-world problems with tools that matter.