[Hiring] Senior Staff Engineer, Generative AI @Nagarro

Role Description

We are looking for a skilled professional with a deep understanding of LLMs and strong experience in AI/ML to architect and implement scalable GenAI and Agentic AI solutions. The role involves collaborating across product and engineering teams to convert business needs into AI-driven solutions.

Qualifications

• Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Requirements

• Total experience 8+ years.
• Deep understanding of LLMs (e.g., GPTs, Llama, Claude, Gemini, Qwen, Mistral, BERT-family models) and their architectures (Transformers).
• Expert-level prompt engineering skills and proven experience implementing RAG patterns.
• High proficiency in Python and standard AI/ML libraries (e.g., LangChain, LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn, PyTorch/TensorFlow).
• Experience implementing RAG architectures and prompt engineering.
• Strong experience with fine-tuning and distillation techniques and evaluation.
• Strong experience using managed AI/ML services on the target cloud platform (e.g., Azure Machine Learning Studio, AI Foundry).
• Strong understanding of vector databases (e.g., Weaviate, Neo4j).
• Understanding of GenAI evaluation metrics (e.g., BLEU, ROUGE, perplexity, semantic similarity, human evaluation).
• Ability to write high-quality, production-ready Python code with strong testing and maintainability practices.
• Experience in productionizing AI systems on Azure or AWS, ensuring enterprise-grade reliability and performance.
• Ability to build and expose APIs using FastAPI, integrating with databases through an ORM.
• Experience in scaling GenAI solutions to support enterprise workloads.
• Strong ability to both architect and code GenAI/Agentic AI solutions.
• Proven production experience with GenAI deployments on Azure or AWS.
• Strong experience in scaling AI solutions in live environments.
• Very strong Python programming skills with a track record of clean, efficient, and maintainable code.
• Successfully delivered at least one production GenAI/Agentic AI solution.
• Proficiency with FastAPI and at least one ORM (e.g., SQLAlchemy, Tortoise ORM).
• Familiarity with Model Context Protocol (MCP).
• Contributions to open-source GenAI projects.
• Good to have experience with React (or some other JS frameworks) for building user-facing interfaces and front-end integrations.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

Responsibilities

• Understanding the client’s business use cases and technical requirements and converting them into technical design.
• Mapping decisions with requirements and translating them to developers.
• Identifying different solutions and narrowing down the best option that meets the clients’ requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation.
• Writing and reviewing design documents explaining overall architecture, framework, and high-level design of the application for developers.
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc.
• Developing and designing the overall solution for defined functional and non-functional requirements.
• Understanding and relating technology integration scenarios and applying these learnings in projects.
• Resolving issues raised during code/review through exhaustive systematic analysis of the root cause.
• Carrying out POCs to ensure that suggested design/technologies meet the requirements.