Senior Staff Engineer, Generative AI

Summary

Join Nagarro, a Digital Product Engineering company, as a highly experienced AI engineer with 10+ years of experience. You will leverage your expertise in LLMs, RAG pipelines, and various AI frameworks to design, develop, and deploy AI solutions. Responsibilities include understanding client needs, envisioning solutions, implementing design methodologies, and leading application development. You will also be responsible for UAT and production rollouts, effort estimation, and providing constructive feedback. The ideal candidate possesses strong experience with Python, Linux, and AI frameworks, along with a solid understanding of model optimization and deployment. Excellent communication and collaboration skills are essential.

Requirements

• Total experience : 10+ years
• Strong experience with LLMs (LLaMA, DeepSeek, etc.) and understanding of RAG pipelines
• Hands on experience in Python, Linux, and Shell scripting
• Experience with OpenCV, PyTorch, YOLO, or TensorFlow frameworks
• Familiarity with LLM inference engines like Ollama, vLLM, llama.cpp
• Solid knowledge of model conversion and deployment
• Experience working on AI Agents, LangChain, and retrieval-augmented generation (RAG)
• Hands-on experience with Docker , Docker Compose, and integration into DevOps pipelines
• Understanding of embedded platforms (Jetson, NXP, Qualcomm) and Yocto builds
• Experience in model optimization techniques (quantization, pruning, etc.)
• Good grasp of CUDA kernels and GPU computing for acceleration
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams
• Bachelor’s or master’s degree in computer science, Information Technology, or a related field

Responsibilities

• Understanding functional requirements thoroughly and analyzing the client’s needs in the context of the project
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it
• Determining and implementing design methodologies and tool sets
• Enabling application development by coordinating requirements, schedules, and activities
• Being able to lead/support UAT and production roll outs
• Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
• Giving constructive feedback to the team members and setting clear expectations