Full Stack Engineer

United States·Madisonfull-timemid

EngineeringFullstack Developer

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Quick Summary

Key Responsibilities

backend services, frontend interfaces, integrations, agents and infrastructure. Design and implement AI/LLM-driven workflows as part of our automation platform. Translate ambiguous

Requirements Summary

you can design systems, not just i

Technical Tools

EngineeringFullstack Developer

We’re a fast-growing startup rethinking how back-office work gets done in financial services. Our first product helps automotive lenders resolve insurance claims more effectively, delivering better outcomes for both lenders and consumers through automation and AI. Small improvements can unlock significant value for our customers. Along the way, we’ve helped consumers avoid millions in debt.

Our work spans a wide range of engineering challenges — from building core application features and integrations, to designing reliable infrastructure, to creating AI/LLM-driven workflows that automate complex processes.

We’re an early stage venture-backed startup and scaling quickly. We’re scrappy, intentional, and focused on solving real problems for our customers. We bias toward shipping, learning fast, and building solutions that work in the real world.

Our headquarters is in New York City, and our team is distributed.

We’re backed by leading investors including 81 Collection, Better Tomorrow Ventures and Capital One Ventures.

https://www.linkedin.com/company/startwithlevel/

We’re looking for a Full Stack Engineer to join our team. You’ll work across the stack, own projects end-to-end, and make foundational technical decisions that will shape our product and culture for years to come.

Some of your work will involve AI/LLM-based systems, but just as much will involve building the surrounding product and infrastructure that makes those systems valuable to our customers. If you enjoy tackling different kinds of problems, moving quickly, and taking ownership, this role is for you.

Responsibilities

~1 min read

→Build features across the stack based on your strengths and the business’s highest priorities: backend services, frontend interfaces, integrations, agents and infrastructure.
→Design and implement AI/LLM-driven workflows as part of our automation platform.
→Translate ambiguous requirements into clear, functioning software.
→Balance speed with technical rigor, knowing when to optimize for learning and when to invest in durability.
→Help define and evolve our engineering practices and technical culture.
→Collaborate closely with the founding team and customers to shape product direction.

7+ years of software engineering experience, ideally with exposure to fast-moving or startup environments.
Strong technical depth: you can design systems, not just implement them.
A generalist mindset, with the ability and confidence to work across multiple parts of the stack.
Pragmatism: you can ship quickly without sacrificing critical quality.
Excellent communication skills, with the ability to articulate technical tradeoffs clearly.
Comfort with ambiguity, and a bias toward ownership and action.

Bonus points for:

Experience working with LLMs or building AI-driven applications.
Background in fintech, insurance, or workflow-heavy enterprise products.
Prior experience as an early-stage engineer or founder
Contributions to open-source or research projects.

Stack:

Cloud & Infrastructure AWS
- AWS Lambda
- Amazon ECS
Backend
- Python
- FastAPI
Databases & Storage
- Amazon DynamoDB
- PostgreSQL
- S3
Frontend
- React/Nextjs
- Typescript

Customer-first – we focus on solving real customer problems.
Bias to action – more doing and fast learning help us deliver the right solutions.
Ownership – no silos, no excuses: we all take responsibility.
Strong opinions, open minds – clear points of view, constructive debate, open to better ideas, learning from each other