Why This Role Stands Out
This fully remote role offers an exciting opportunity to build cutting-edge, AI-assisted applications and contribute to open-source projects, significantly advancing your skills in a high-demand tech sector. You'll thrive here if you possess strong full-stack Java expertise, a passion for AI development, and a proven track record of open-source contributions, making this an ideal next step in your career. Apply today to join a forward-thinking team and shape the future of technology.
Quick Overview
Job Description
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.
Responsibilities
• 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.
Required skills
• 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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