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

- **Company:** NeevSys Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** 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, SQL Databases, Web Application Frameworks, ReactJS, Large Language Models, Spring-boot, Generative AI, Backend, Containerization, AngularJS, Kubernetes, Code Testing, Free and Open-Source Software, Data Management, Front End Software Development, Api Design, Docker
- **Published:** July 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d73fffee6f276f08

## About the Role

* 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.

## Description

Neevsys is currently seeking two 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., * 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., * 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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