Java Developer - IV

Indotronix International Corporation • Alpharetta, GA

5d • Onsite

About The Position

Join a cutting-edge team as a Java Developer - IV specializing in Agentic AI. You’ll design, build, and deploy state-of-the-art autonomous AI agents and multi-agent systems that go far beyond static prompt engineering. This is an opportunity to bring innovative LLM agent architectures from concept to scalable, production-ready enterprise solutions. Collaborate with product managers, data engineers, and domain experts in a dynamic, supportive environment that fosters continuous learning and advancement.

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, Software Engineering, or equivalent practical experience.
• 1–2+ years of hands-on experience in LLM/AI application development.
• Expert-level proficiency in Python.
• Demonstrated success with agentic frameworks such as LangGraph, CrewAI, AutoGen, LlamaIndex, or Semantic Kernel.
• Strong background in building RESTful APIs and defining OpenAPI specifications.
• Practical experience with vector search engines (Pinecone, Qdrant, Milvus, Weaviate, Chroma).
• Solid understanding of asynchronous programming, microservices, Docker/Kubernetes, CI/CD pipelines, and testing for AI systems.

Nice To Haves

• TypeScript or JavaScript experience.
• Deep familiarity with hybrid retriever architectures and advanced memory management strategies.

Responsibilities

• Architect and implement autonomous AI agents using leading frameworks such as LangGraph, CrewAI, AutoGen, or LlamaIndex.
• Design robust agent reasoning workflows employing ReAct, Plan-and-Solve, Reflection, and hierarchical multi-agent structures.
• Build resilient tool-use pipelines for seamless API calls, database queries, code execution, and enterprise software integration.
• Integrate long-term and short-term memory systems, leveraging vector databases and semantic search.
• Implement structured input/output parsing for reliable model-execution communication.
• Develop fallback mechanisms, human-in-the-loop checkpoints, and safeguards for AI-driven decisions.
• Establish evaluation pipelines to benchmark agent accuracy, speed, and reliability.
• Monitor runtime performance, optimize context windows, and manage API usage costs.
• Debug and resolve non-deterministic failures and multi-step agent execution issues.

Benefits

• Collaborate with top-tier AI innovators and domain experts.
• Work in a dynamic, onsite environment with opportunities for cross-functional learning.
• Access to the latest AI frameworks and enterprise-scale deployment tools.
• Career advancement in a rapidly growing AI division.
• Competitive compensation and comprehensive benefits package.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior