Java AI Engineer

OmegaHires

$120K — $145K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of software development experience required
  • Proficient in Java and Spring Boot
  • Strong understanding of REST APIs, middleware, and microservices
  • Frontend skills in React, Angular, or similar required
  • Hands-on experience in Generative AI and LLM development
  • Familiarity with Claude, LangChain, and LangGraph
  • Experienced in Git, CI/CD, testing, and Agile methodologies

Responsibilities

  • Develop software across backend, frontend, middleware, and Generative AI.
  • Create AI-powered applications using Claude, LangChain, and LangGraph.
  • Implement AI agents and build RAG pipelines for integration.
  • Engineer prompts for enhanced model performance and LLM integrations.
  • Collaborate on system integrations and enhance existing architectures.

Benefits

  • Flexible working hours
  • Opportunities for professional growth and development
  • Collaborative team environment
  • Access to modern tools and technologies
  • Participation in innovative AI projects
Full Job Description
Java AI Engineer

Responsibilities:- Work as an individual contributor across Java backend, frontend, middleware/API development, and Generative AI.- Build AI-powered applications using Claude, LangChain, and LangGraph.

Required Skills:- 8+ years of hands-on software development experience.- Strong Java / Spring Boot development experience.- Strong experience with REST APIs, middleware, microservices, and system integrations.- Frontend development experience with React, Angular, or similar technologies.- Hands-on Generative AI / LLM development experience.- Strong experience with Claude, LangChain, and LangGraph.- Experience building AI agents, RAG pipelines, prompt engineering, and LLM integrations.- Strong understanding of APIs, JSON, databases, and distributed applications.- Experience with Git, CI/CD, testing, and Agile development. Preferred:- Experience with AWS/Azure/GCP.- Experience with vector databases, embeddings, semantic search, and AI evaluation.- Knowledge of AI security, guardrails, prompt injection, and enterprise AI governance.- Experience integrating GenAI capabilities into large-scale enterprise applications.

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