Associate Staff Engineer (Gen AI Engineer)

In a changing and evolving world, challenges are ever more unique and complex. Nagarro helps to transform, adapt, and build new ways into the future through a forward-thinking, agile, and caring mindset. Today, we are 18,000+ experts across 37+ countries, forming a Nation of Nagarrians, ready to help our customers succeed.

The nature of IT & digital product engineering has reached an incredible state of velocity and transition. We must adapt and meet it with an agile mindset that isn't afraid to iterate towards the perfect solution. If we only solve today's problems, it's not enough. We must do more. We must courageously embrace the future, with vision and clarity about where technology & business are heading. Thinking breakthroughs gets us there.

Nagarro - https://www.nagarro.com/en

Must have Skills : Java (Expert), LLM Application Frameworks (Strong), Data science on Azure (Strong),

Good To Have Skills : Azure DevOps suite (Expert) 

Knowledge & Experience:

• 5+ years of hands-on development experience, with at least 3 years in advanced Python engineering.
• Proven expertise in LangChain, LangGraph, or equivalent LLM orchestration frameworks.
• Experience with Azure AI Services, including Azure OpenAI, AI Studio, and Cognitive APIs.
• Strong background in serverless architecture, especially Azure Functions or AWS Lambda.
• Solid understanding of LLM application design, prompt engineering, embeddings, and vector database integrations.
• Exposure to Java-based microservices and REST API integration.
• Strong grasp of software architecture, design patterns, and distributed system concepts.
• Experience in developing modular, testable, and maintainable Python codebases.
• Knowledge of LLM lifecycle management (training, fine-tuning, evaluation).
• Experience with Azure DevOps pipelines, Docker, and Kubernetes (EKS/AKS).
• Prior work on enterprise AI solutions (e.g., chatbots, assistants, document intelligence, RAG pipelines).

Domain & Functional Expertise

• Strong functional and technical understanding of the Banking domain, especially Corporate & Investment Banking.
• Ability to interpret business requirements and assess system impacts, integrations, and dependencies

Technical Skills:

• Programming: Expert-level Python (data structures, algorithms, async I/O, typing, and packaging).
• Frameworks: LangChain, LangGraph, FastAPI, Flask.
• Cloud: Azure AI Services, Azure Functions, Azure Storage, Cosmos DB (or similar).
• Serverless: Function Apps, Event-driven design, API Gateway integrations.
• DevOps: CI/CD, Docker, Git, Unit testing, Code reviews.
• Data & AI: Embeddings, Vector stores, RAG, OpenAI APIs.
• Integration: REST, GraphQL, gRPC, message queues (Kafka/SQS/Event Hub).
• Exposure to Java: Microservices, Spring Boot integration