Senior Staff Engineer, Generative AI

About the Position

We are seeking a Senior Staff Engineer, Generative AI to join our team. With over 8 years of experience, you will specialize in LLMs and AI/ML libraries, driving our innovative projects forward.

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 the developers.
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensuring that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
• Understanding and relating technology integration scenarios and applying these learnings in projects.
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and justifying the decision taken.
• Carrying out POCs to ensure that suggested design/technologies meet the requirements.

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.
• Must have experience in Python, SQL, Pandas, SciPy, and Scikit-learn, ML model development, validation, deployment, and tuning.
• Should have done anomaly-detection implementation.
• Must have experience with Snowflake Data Cloud and Snowflake Cortex AI.
• 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).
• Should have understanding of GenAI evaluation metrics (e.g., BLEU, ROUGE, perplexity, semantic similarity, human evaluation).
• Architect and implement scalable GenAI and Agentic AI solutions end-to-end.
• Should be able to write high-quality, production-ready Python code with strong testing and maintainability practices.
• Should be able to productionize AI systems on Azure or AWS, ensuring enterprise-grade reliability and performance.
• Should be able to build and expose APIs using FastAPI, integrating with databases through an ORM.
• Should be able to scale GenAI solutions to support enterprise workloads.
• Collaborate across product and engineering teams to convert business needs into AI-driven solutions.
• 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.
• Should have successfully delivered at least one production GenAI/Agentic AI solution.
• Should have familiarity with Model Context Protocol (MCP).
• Should have contributions to open-source GenAI projects.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

Qualifications

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

We Offer

• Opportunity to work with cutting-edge technologies in Generative AI.
• Collaborative and dynamic work culture.
• Professional growth and development opportunities.

About the Company

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale - across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!