Senior Staff Engineer, Generative AI

Summary

Join Nagarro, a Digital Product Engineering company, as a seasoned professional with 10+ years of experience. You will leverage your expertise in LLMs, inference frameworks (Ollama, vLLM, llama.cpp), and deep learning frameworks (OpenCV, PyTorch, YOLO, TensorFlow) to design and implement cutting-edge AI solutions. Responsibilities include understanding client needs, envisioning solutions, implementing design methodologies, coordinating application development, and leading UAT and production rollouts. You will need strong programming skills in Python, Linux, and shell scripting, along with experience in Docker, DevOps, and CI/CD. A deep understanding of edge AI hardware and model optimization is crucial. Excellent communication and collaboration skills are essential for success in this role.

Requirements

• Total experience:10+years
• Experience with LLMs (e.g., DeepSeek, LLaMA) and inference frameworks (Ollama, vLLM, llama.cpp)
• Proficiency in OpenCV, PyTorch, YOLO or TensorFlow, and model conversion workflows
• Strong experience in Docker, DevOps, and CI/CD pipeline integration
• Programming skills in Python, with solid experience in Linux and shell scripting
• Understanding of edge AI hardware (Jetson/NXP/Qualcomm) and embedded deployment
• Familiarity with Yocto OS and custom Linux builds
• Strong grasp of model optimization and compression techniques
• Experience with Langchain, AI agents, and RAG pipelines
• Good knowledge of inference acceleration using CUDA and GPU-specific kernels
• Excellent communication and collaboration skills
• 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