Senior Java Full Stack /Gen AI Developer (Java Full Stack + Agentic AI)

About the Role

We are seeking an innovative GenAI Developer with strong Java Full Stack development experience and hands-on expertise in Generative AI, Agentic AI, and LLM-based application development. The ideal candidate will be responsible for designing, developing, and deploying enterprise-grade AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and autonomous agent frameworks integrated with scalable cloud-native applications.

This role requires a blend of traditional software engineering expertise and modern AI development capabilities to build intelligent, secure, and production-ready solutions.

Key Responsibilities

Design, develop, and implement enterprise Generative AI solutions utilizing LLMs and enterprise data sources.
Build and deploy Retrieval-Augmented Generation (RAG) architectures for knowledge retrieval and intelligent search.
Develop Agentic AI and multi-agent systems to automate complex business workflows and decision-making processes.
Create scalable backend services using Java, Spring Boot, and Microservices architecture.
Develop modern user interfaces using React.js or Angular frameworks.
Integrate Azure OpenAI, OpenAI, Anthropic, or other LLM APIs into enterprise applications.
Implement vector search and semantic retrieval using Pinecone, FAISS, Azure AI Search, or equivalent technologies.
Deploy and manage AI workloads in Azure or AWS cloud environments.
Build CI/CD pipelines and automate deployments using Azure DevOps, GitHub Actions, or Jenkins.
Collaborate with Product, Data Science, Cloud Engineering, and Business teams to deliver production-grade AI solutions.
Ensure compliance with enterprise AI governance, security, and responsible AI standards.
Optimize application performance, scalability, and reliability for AI-powered solutions.

Required Qualifications

5–8 years of overall software development experience.
Minimum 2+ years of hands-on experience in Generative AI and AI-driven application development.
Strong expertise in Java, Spring Boot, and Microservices architecture.
Experience developing front-end applications using React.js or Angular.
Hands-on experience building Generative AI solutions using LLMs and RAG architectures.
Strong understanding of Prompt Engineering and AI orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar.
Experience implementing Agentic AI patterns, autonomous agents, and multi-agent systems.
Expertise with Vector Databases and Semantic Search technologies including Pinecone, FAISS, ChromaDB, or Azure AI Search.
Experience integrating OpenAI, Azure OpenAI, Anthropic Claude, or similar foundation models.
Knowledge of cloud platforms such as Azure and AWS.
Experience with Docker, Kubernetes, and containerized application deployment.
Strong understanding of CI/CD pipelines and DevOps practices.
Experience with GitHub Copilot, Cursor AI, or other AI-assisted development tools.

Preferred Qualifications

Experience with AI Agent frameworks such as CrewAI, AutoGen, Semantic Kernel, or LangGraph.
Knowledge of MLOps and LLMOps best practices.
Experience building conversational AI, copilots, virtual assistants, or enterprise knowledge management solutions.
Familiarity with Azure AI Studio, Azure AI Search, Azure OpenAI, AWS Bedrock, or SageMaker.
Experience with enterprise security, governance, and compliance requirements for AI applications.
Exposure to vector embeddings, semantic ranking, and retrieval optimization techniques.

Nice to Have

Experience with Graph RAG, Knowledge Graphs, or Hybrid Search architectures.
Familiarity with AI observability and monitoring tools.
Experience implementing Responsible AI and AI governance frameworks.
Azure or AWS Cloud Certifications.

Senior Java Full Stack Developer with Gen AI