As a Full Stack Engineer, you will build features across the stack, implement AI workflows, and collaboratively define engineering practices in a startup environment.
About us
The role
What you’ll do
Our values
Compensation & benefits
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.
- 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
- Competitive salary and meaningful equity.
- Health, dental, and vision insurance.
- Unlimited PTO and flexible hours.
- New equipment to support your best work.
- Regular off-sites and team travel budget to get together in person
- The opportunity to play a foundational role in shaping both the product and the company.
📍 HQ in NYC, distributed team. This role is for our Boston, MA office.
Top Skills
Amazon Dynamodb
Amazon Ecs
AWS
Aws Lambda
Fastapi
Nextjs
Postgres
Python
React
S3
Typescript
Similar Jobs
Artificial Intelligence • Healthtech
The Full-Stack Engineer will develop web applications, manage infrastructure, write SQL, and collaborate with various stakeholders to enhance patient experience in healthcare.
Top Skills:
AWSNextjsRuby On Rails
Artificial Intelligence • Computer Vision • Hardware • Robotics • Transportation • Automation • Manufacturing
As a Full Stack Engineer Co-Op, you will develop web applications, improve existing features, collaborate with teams, and ensure code quality standards.
Top Skills:
AngularjsAWSAzureElasticsearchJavaScriptMongoDBNode.jsPostgresReactRedisTypescriptVue
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
Develop security tools for embedded Linux and Android systems, maintain cloud backends, and collaborate to ensure security best practices.
Top Skills:
Aws CdkEbpfGoKotlinLinuxNoSQLReactRest ApisRustTerraformTypescript
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center



