Full Stack Engineer

About Accelerant

Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged - so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit www.accelerant.ai.

About The Role

Accelerant is building a new platform that will serve as the backbone of how risk is exchanged in the future.The Product & Technology team is looking for a FullStack Software Engineer who is passionate about building high quality software systems that are valued by customers.

If you join our team, here are some of thingsyou’llbe doing:

• Working closely withpeer engineers, product managers, and other stakeholders to understand project requirements and deliver solutions that meet business needs.

• Developing new frontend and backend featuresthat help make our customers successful.

• Writing backend code in Typescript that is fully unit tested.

• Writing frontend code inSvelte,optimizingthe frontend codebase for speed, efficiency, maintainability, and scalability.

• Moving fast,while taking the time to ship high-quality code.

What you bring to the table:

• Experience building and scaling web applications.

• Strong understanding of modern JavaScript frameworks.

• Strong coding ability.

• Passionate problem-solving mindset.

• Reputation for getting things done.

• Strong sense of ownership.

• Desire to learn and grow.

Desired qualifications:

• Experience with Typescript.

• Experience withSvelte, web components, or equivalent component model.

• Experience with cloud platforms such as AWS, and databases such as Postgres and Snowflake.

• Experience with SQL-Like databases and data caching strategies such as Postgres, Snowflake, and Redis.
• Experience integrating AI into the development lifecycle, including hands-on use of tools such as Cursor, Claude, and other LLM-based coding assistants to accelerate design, implementation, testing, and refactoring.
• Experience building AI-enabled features and applications, including working with modern LLM APIs, prompt design, retrieval-augmented generation (RAG), vector databases, and developer tooling such as LangChain or equivalent frameworks.

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