Senior GenAI Developer (Java, Spring Boot & Azure AI)

Job Summary

We are seeking a highly skilled GenAI Application Developer with strong expertise in Java, Spring Boot, Microservices, APIs, and cloud-native application development. The ideal candidate should have hands-on experience building Generative AI-powered applications using Azure OpenAI Services and the Azure Cloud ecosystem.

The role involves designing, developing, and deploying enterprise-grade AI applications leveraging Large Language Models (LLMs), LangChain, LangGraph, Azure AI Services, and modern cloud-native architectures. Candidates with Machine Learning experience and a strong software engineering background will be highly preferred.

Key Responsibilities

• Design, develop, and maintain enterprise-grade applications using Java, Spring Boot, REST APIs, and Microservices architecture.
• Build and deploy Generative AI applications leveraging Azure OpenAI Services and Azure AI ecosystem.
• Develop AI-powered solutions using Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and agent-based workflows.
• Design and implement AI orchestration frameworks using LangChain and LangGraph.
• Integrate AI services with enterprise applications through APIs and Microservices.
• Develop scalable cloud-native solutions on Microsoft Azure.
• Collaborate with business stakeholders, architects, and engineering teams to define AI solution strategies.
• Design and implement secure, scalable, and high-performance backend systems.
• Build and maintain CI/CD pipelines for AI and cloud-native applications.
• Monitor application performance and optimize AI workflows for scalability and reliability.
• Participate in Agile development processes, code reviews, and technical design discussions.
• Support deployment, troubleshooting, and production maintenance of AI-powered applications.

Required Skills

Generative AI & LLMs

• Generative AI Application Development
• Large Language Models (LLMs)
• Azure OpenAI Services
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agents
• AI Workflow Orchestration

AI Frameworks

• LangChain
• LangGraph
• Semantic Search
• Vector Databases

Backend Development

• Java
• Spring Boot
• REST APIs
• Microservices Architecture
• API Integration

Cloud Technologies

• Microsoft Azure
• Azure OpenAI
• Azure AI Services
• Azure Functions
• Azure App Services
• Azure Storage
• Azure Kubernetes Service (AKS)

DevOps & Deployment

• Docker
• Kubernetes
• CI/CD Pipelines
• Git
• Azure DevOps

Machine Learning (Preferred)

• Machine Learning Model Development
• Model Deployment
• MLOps Concepts
• Data Processing and Analytics

Preferred Qualifications

• Experience building production-grade GenAI applications.
• Hands-on experience with Azure OpenAI and Azure AI Foundry.
• Exposure to Vector Databases such as Pinecone, ChromaDB, FAISS, or Azure AI Search.
• Experience with Agentic AI and multi-agent workflows.
• Strong understanding of cloud-native application design patterns.
• Experience working in Agile/Scrum environments.

Soft Skills

• Strong problem-solving and analytical abilities.
• Excellent communication and collaboration skills.
• Ability to quickly learn and adapt to emerging AI technologies.
• Strong ownership and accountability mindset.