Join Nagarro as a Senior Staff Engineer specializing in Python and LLM!Are you ready to take your career to the next level? At Nagarro, we are looking for a talented engineer with over 7.5 years of experience to design and optimize applications powered by cutting-edge Large Language Models (LLMs). Your expertise in Python backend development and LLM engineering will be pivotal in delivering innovative solutions.Key Responsibilities:Design, implement, and enhance LLM-powered applications using leading and open-source models.Develop advanced prompt engineering strategies and structured output pipelines.Build Retrieval-Augmented Generation (RAG) pipelines with hybrid search and custom retrieval strategies.Contribute to the development of multi-agent systems and autonomous AI workflows.Fine-tune and serve foundational models using LoRA/QLoRA and modern inference engines.Deploy and scale LLM workloads on GPU/TPU-based systems.Integrate multimodal models across various types of data including text, images, audio, and video.Establish evaluation pipelines for detecting hallucinations, ensuring factual accuracy, and quality scoring.Implement safety policies and moderation guardrails for AI systems.Build robust backend systems using FastAPI, microservices, and event-driven architectures.Optimize backend performance and reliability.Develop ingestion pipelines for document processing and semantic indexing.Deploy AI systems on cloud platforms and manage Kubernetes inference clusters.Establish CI/CD processes, automated testing, and model versioning.Qualifications:Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.At least 7.5 years of hands-on experience in LLM engineering and Python backend development.Expertise in LLM Application Frameworks, including Prompt Engineering with LLMs and FastAPI.Proven track record in building and deploying applications using advanced LLMs (e.g., GPT-4/5, Claude, Gemini, etc.).Strong experience with RAG pipelines, embeddings, prompt engineering, and multi-agent systems.Deep knowledge of model fine-tuning techniques like LoRA, QLoRA, PEFT, and adapters.Familiarity with vector databases such as Pinecone, Weaviate, Milvus, and FAISS.Strong understanding of cloud platforms (AWS, GCP, Azure) and containerization using Kubernetes.Excellent communication, collaboration, and problem-solving skills.
Mar 14, 2026
