Full-Stack Java Developer - open source & AI-assisted delivery

Fusion
United States
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Business Software Cloud Computing Code Review Data Stores Middleware Open Source Technology Software Engineering
+21 more
SQL Databases Web Application Frameworks Pinecone ReactJS Retrieval-Augmented Generation Large Language Models Spring-boot Generative AI Backend Agentic-AI Pgvector Containerization AngularJS Kubernetes Code Testing Free and Open-Source Software Data Management Front End Software Development Api Design Docker ChromaDB

Job description

  • Design, build, and maintain full-stack Java applications (backend services and web front-ends) on a cloud-based middleware platform.

  • Integrate large language models, retrieval-augmented generation (RAG), and vector data stores into application features.

  • Use AI development harnesses and agentic coding tools to prototype and ship solutions faster.

  • Contribute high-quality, well-tested code; participate in code review and uphold engineering standards.

  • Work within a secure, government cloud environment and iterate as platform requirements evolve.

Requirements

Full-Stack Java Developer - open source & AI-assisted delivery 100% Remote

Candidates with prior Federal / State client experience is must

Full-Stack Java Developer - open source & AI-assisted delivery

Senior full-stack Java engineers who build modern, API-driven applications, contribute to open-source software, and use AI development harnesses to accelerate delivery - proficiencies that map directly to building AI business applications on our platform., * Strong full-stack Java (e.g., Spring / Spring Boot) plus a modern JavaScript front-end framework (React or Angular).

  • Demonstrable open-source contributions - public repositories and merged pull requests to established projects.

  • Hands-on experience using AI / LLM development harnesses or agentic coding tools to build software.

  • API and service integration; solid SQL and data-handling skills.

  • Ability to learn an unfamiliar platform / middleware stack quickly.

  • US work authorization; clearance eligibility per contract environment.

Preferred

  • GenAI application experience: embeddings, RAG, and vector databases (pgvector, ChromaDB, Pinecone, or similar).

  • Cloud (AWS or Azure) and containerization (Docker / Kubernetes).

  • Prior federal or regulated-environment delivery.

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