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Java AI / Agentic AI Developer – 10+ Years – Remote

Tymon GlobalUnited States🇺🇸United StatesPosted Sep 24, 2026

Why This Role Stands Out

This remote role offers a fantastic opportunity to pioneer cutting-edge Agentic AI solutions using your extensive Java and Generative AI expertise, shaping the future of intelligent automation. You'll thrive here if you're a seasoned developer passionate about building sophisticated AI-powered applications and integrating LLMs within enterprise environments. Embrace this chance to make a significant impact and advance your career in a dynamic, forward-thinking company.

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
17 hours ago
DockerMicroservicesSpringSpring BootAWSGenerative AIGitJavaKubernetesLLMPythonREST

Job Description

We are looking for a highly experienced Senior Java AI / Agentic AI Developer with 10+ years of software development experience and strong hands-on expertise in Java, Spring Boot, Microservices, Generative AI, Agentic AI, and AWS. The ideal candidate should have experience building AI-powered applications, intelligent agents, LLM integrations, RAG pipelines, prompt engineering, AI orchestration, and enterprise-grade Java applications. Experience with REST APIs, Python, AI/ML frameworks, vector databases, and CI/CD is preferred. This is a remote position, and the candidate should be available for two rounds of interviews as part of the selection process.

Roles & Responsibilities:

  • Design and develop enterprise applications using Java, Spring Boot, and Microservices.
  • Build Agentic AI solutions for intelligent automation and workflow orchestration.
  • Integrate Generative AI and LLMs with Java-based enterprise applications.
  • Develop RAG (Retrieval-Augmented Generation) solutions using vector databases and enterprise data.
  • Work with LLM APIs, embeddings, prompt engineering, AI agents, and orchestration frameworks.
  • Develop and integrate REST APIs with AI-powered applications and enterprise systems.
  • Deploy and support AI applications using AWS cloud services.
  • Collaborate with AI Engineers, Data Scientists, Architects, and business teams.
  • Implement testing, monitoring, security, and performance optimization.
  • Work with Git, CI/CD, Docker, and Kubernetes.
  • Troubleshoot application and AI integration issues in development and production.
  • Stay current with Agentic AI, Generative AI, LLM, and AI automation technologies.
  • Participate in two rounds of interviews.

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