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Full-Stack Software Engineer — LLM Tooling & Data Applications

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Signify Technology

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

70.00 - 90.00 USD / Hour
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Job Description:

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.

Job Responsibility:

  • 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

Additional Information:

Job Posted:
May 04, 2026

Work Type:
Remote work
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