Java -Agentic AI

Agentic AI / GenAI Engineer (Java)

We are looking for an Agentic AI / GenAI Engineer with a strong Java backend foundation to design, build, and deploy GenAI solutions and AI agents for enterprise use cases. The role includes building LLM-powered applications, implementing agentic workflows, integrating with enterprise systems and data sources, and ensuring responsible and secure AI usage.

Key Responsibilities:

• Design and develop Java-based services for GenAI/LLM applications.
• Build agentic workflows that can plan, execute multi-step tasks, and use tools/APIs as needed.
• Implement Retrieval-Augmented Generation (RAG) patterns: document ingestion, embeddings, vector search, and response generation.
• Integrate GenAI solutions with enterprise applications, data sources, and workflows.
• Develop prompt strategies, templates, evaluation tests, and guardrails to improve quality and safety.
• Optimize performance, cost, and latency of LLM calls; implement caching and monitoring.
• Ensure security, compliance, and responsible usage practices for GenAI solutions.
• Troubleshoot issues, perform root cause analysis, and support production deployments.

Required Skills:

• Strong proficiency in Java and backend development.
• Hands-on experience building GenAI/LLM applications.
• Experience with agentic AI concepts (planning, tool use, orchestration).
• Experience with RAG: embeddings, vector databases/search, and document pipelines.
• API integration experience (REST), authentication/authorization basics.
• Familiarity with CI/CD, testing, and code quality practices.

Good to Have:

• Experience with Azure cloud services and Azure OpenAI.
• Familiarity with agent frameworks (e.g., Lang Graph-style orchestration concepts).
• Experience with observability/monitoring and production support.

Education:

Bachelor's degree in Computer Science or equivalent practical experience.