ABOUT OUTMARKET
Outmarket is building AI-powered software for commercial insurance. Our platform helps brokers, MGAs, and carriers unlock insights from their own data and automate workflows such as policy review, quote comparison, and market appetite search.
We are an AI-first team in both product and execution. We work across application layers, infrastructure, and AI systems to deliver practical solutions that solve meaningful customer problems.
ABOUT THE ROLE
We are hiring a Full Stack AI Engineer to work across the product and technical stack, from AI workflows and backend systems to frontend product experiences. This is not a narrowly scoped engineering seat. It is a build-and-run role for someone who likes moving between customer problems, product thinking, and hands-on implementation.
You will work closely with founders and a senior team to ship AI-powered capabilities quickly and reliably.
WHY THIS ROLE
Work across a broad technical stack in an AI-native environment.
Build features that directly affect real customer workflows and outcomes.
Partner closely with founders and experienced engineers.
Move quickly from idea to shipped product.
Help shape both the technical foundation and product direction as the company grows.
WHAT YOU’LL DO
Work directly with insurance brokers, MGAs, and carriers to deploy AI-powered solutions to their workflows.
Use LLMs, embeddings, and structured data pipelines to build features such as document review, entity extraction, and quote comparison.
Rapidly prototype and productionize features based on customer needs and feedback.
Collaborate with sales, customer success, and product teams to prioritize high-leverage opportunities.
Build reusable systems and components that can scale across use cases and customers.
Operate across boundaries when needed, whether the problem is product, infrastructure, workflow logic, or customer-facing delivery.
WHAT WE’RE LOOKING FOR
2+ years of experience in ML, NLP, or LLM-based systems, or 3+ years in software engineering with strong interest in applied AI.
Proficiency in Python and experience with tools such as LangChain, Hugging Face, OpenAI, or vector databases.
Experience working with SQL and database systems.
Ability to understand messy real-world data and turn it into practical product capabilities.
Strong ownership and comfort operating in a fast-moving environment.
Ability to ship without waiting for a perfectly bounded role or perfectly specified problem.
BONUS IF YOU HAVE
Experience working with unstructured documents such as PDFs or insurance policies.
Deep expertise in one or more of Postgres, React, or Python.
Previous experience at an early-stage startup.
WHAT YOU’LL GET
A high-impact role with ownership from day one.
Competitive compensation and meaningful equity.
Direct collaboration with founders and real users.
Remote-first flexibility.
The opportunity to help build an AI-native product from the ground up.
