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Jav AI CHADC

Job in Hopkins, Hennepin County, Minnesota, 55305, USA
Listing for: Compunnel Inc.
Full Time position
Listed on 2026-07-22
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Backend Developer
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Jav with AI -- CHADC5838075

Interview process

1 round interview process - onsite

Job Description

They need to be hands on with AI experience more than the UI, Java + AI and react will be secondary.

Requirements
  • Java Development skills with Spring/Spring Boot.
  • Experience with API design and development.
  • 1+ year of experience with GenAI/Agentic AI (i.e. LLMs, RAGs, Lang Chain/Lang Graph, etc.)
  • Experience with React (preferred) or Angular.
  • 7 to 10 years of exp is good.
Key Responsibilities
  • Lead offshore engineering resources and drive successful delivery of AI initiatives.
  • Design and develop backend services using Java and Spring Boot.
  • Build and enhance React-based user interfaces supporting AI-enabled workflows.
  • Architect and implement production-grade GenAI solutions, including LLMs, RAG pipelines, agentic systems, and chatbot experiences.
  • Establish guardrails, governance, monitoring, and compliance controls for AI solutions.
  • Develop and maintain CI/CD pipelines and cloud deployment processes.
  • Collaborate with Product, Design, Platform, Risk, and Compliance teams.
  • Mentor engineers, drive architectural decisions, and perform technical leadership functions.
Required Skills
  • Spring/Spring Boot.
  • API design and development (REST, OpenAPI, Swagger).
  • Authentication and security (OAuth, OIDC, JWT, RBAC).
Frontend Development (3+ Years)
  • React preferred (Angular acceptable).
  • Component architecture.
  • State management and routing.
  • Accessibility and UI testing.
GenAI / Agentic AI (1+ Year)
  • LLM concepts and architecture.
  • RAG design and implementation.
  • Agentic AI systems.
  • Lang Chain and Lang Graph.
  • AI guardrails and responsible AI controls.
Data & Infrastructure (3–5 Years)
  • Relational databases
  • Redis caching
  • Observability and monitoring solutions
  • Performance and cost optimization for AI workloads
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