Job Title: Full Stack Engineer

Company Name: Accelerant

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/nct9xy7jki8lgsbs

Job Description: Posted 5d agoFull Stack Engineer@ AccelerantView All JobsWebsiteUnited States or CanadaRemoteFull TimeResponsibilities:Collaborating engineers, Developing features, Writing testsRequirements Summary:Experience building and scaling web applications; strong JavaScript experience; frontend and backend feature development; reliability and quality focus.Technical Tools Mentioned:Typescript, Svelte, Cloud(AWS), PostgreSQL, Snowflake, Redis, LangChain, LLM APIs, Cursor, Claude, AI tooling
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 Full Stack 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 things you’ll be doing: Working closely with peer engineers, product managers, and other stakeholders to understand project requirements and deliver solutions that meet business needs. Developing new frontend and backend features that help make our customers successful. Writing backend code in Typescript that is fully unit tested. Writing frontend code in Svelte, optimizing the 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 with Svelte, 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.#LI-DNI