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

Job in Rockville, Montgomery County, Maryland, 20849, USA
Listing for: Neevsys LLC
Full Time position
Listed on 2026-09-12
Job specializations:
  • Software Development
    Full Stack Developer, Backend Developer, AI Engineer (Applied/Software), Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 130000 - 210000 USD Yearly USD 130000.00 210000.00 YEAR
Job Description & How to Apply Below

Over 10 years we helping companies reach their financial and branding goals. Onum is a values-driven SEO agency dedicated.

Job 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.

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
  • 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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