xelys jobs xelys jobs

Full Stack Engineer

Uniting Ambition

full-remotemidpermanentfullstackbackenddata United States 138 days ago via LinkedIn

See how well this job matches your profile

Sign up to get an AI match score and generate a tailored application in seconds.

Get your match score

Tags

TypeScriptSvelteAWSPostgreSQLSnowflakeRedisSQLLLMRAGCloud-Native

About the role

Role overview

Full Stack Engineer (USA) for a remote team building AI-powered, cloud-native systems in the Insurtech domain. You will design, build, and evolve end-to-end product features across modern web and data platforms, with strong ownership of systems and code quality.

Responsibilities

  • Design, build, and iterate full-stack product features across web and data systems
  • Develop frontend experiences using TypeScript with Svelte (or similar modern component frameworks)
  • Build and maintain cloud-native systems on AWS
  • Work with data platforms including PostgreSQL and Snowflake, including caching via Redis
  • Design and maintain SQL-based data models and support distributed data workflows
  • Integrate LLM-driven capabilities into production systems (e.g., RAG/CAG architectures)

Requirements

  • Commercial, hands-on experience building polished, high-performance web applications
  • Strong code quality mindset and ownership in a fast-moving team
  • Experience applying AI in production, particularly in enterprise or data-rich environments
  • Full-stack development with TypeScript
  • Frontend development with Svelte (or comparable modern component frameworks)
  • Cloud and data experience using AWS, PostgreSQL, and Snowflake

Nice to have

  • Deep interest in large-scale systems and AI initiatives
  • Experience with modern LLM integration patterns such as RAG/CAG

About Uniting Ambition

Uniting Ambition is a global Insurtech business focused on building AI-powered infrastructure. Its platform combines software, data, and machine learning to turn complex information into real-time intelligence and move organizations from static reporting to adaptive, live insights.

Scraped 5/12/2026