Full Stack Engineer

About the role

You’ll be joining a small full-stack team building internal applications that blend traditional data-driven web tooling with newer AI-assisted features — chat interfaces over internal data, retrieval-augmented generation, graph-backed search, and dashboards that pull from a mix of enterprise systems. The exact day-to-day will depend on your strengths, but you’ll be working across the backend, data, and LLM tooling layers of a modern internal platform.

Responsibilities

• Build and ship features across a TypeScript and Node backend with data and AI-assisted components
• Work on LLM-powered features including prompt engineering, retrieval-augmented generation, and integration with internal data sources
• Contribute to graph-database-backed retrieval and semantic search work
• Integrate with enterprise SaaS platforms and internal data systems via their APIs
• Partner with frontend engineers on data visualization and dashboard work
• Participate in code review, deployment automation, and standard quality engineering practices
• Work directly with internal users to scope, prototype, and refine what gets built

Requirements

• 3+ years building production web or data applications with Node.js and TypeScript
• Practical experience with LLM prompt engineering and production retrieval-augmented generation (RAG) pipelines
• Working knowledge of a graph database such as Neo4j or Memgraph, or equivalent experience with semantic search layers over a data warehouse
• Comfort with modern LLM tooling patterns including tool use, agent architectures, and integration with enterprise data sources
• Familiarity with enterprise engineering tooling — ticketing, source control, observability, and deployment pipelines
• Comfortable operating in an agile team with CI/CD
• Bachelor’s degree in Computer Science, Information Systems, or a related field

Nice to have

• Experience with Snowflake Cortex, semantic views, or warehouse-native LLM tooling
• Experience building or extending Model Context Protocol (MCP) servers
• Experience with React and data visualization libraries
• Certifications across cloud, data, or CI/CD platforms

Pay

$70 – $90 per hour (W2)

Schedule

Contract through end of 2026, 100% remote in the United States.