Python Developer GenAI & Agentic AI (m/f/d)

## Company Description 👋🏼 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 (19,000+ experts across 34 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! ## Job Description We are seeking a highly skilled Python Developer with strong expertise in Generative AI and Agentic AI frameworks to join our team. The ideal candidate will have hands-on experience building intelligent AI solutions, integrating large language models (LLMs), and developing autonomous AI agents capable of reasoning and task execution. Experience with Elasticsearch is desirable. - Design, develop, and deploy AI-powered applications using Python. - Build and implement Generative AI solutions leveraging Large Language Models (LLMs). - Develop and orchestrate Agentic AI workflows, including autonomous agents capable of planning, reasoning, and executing tasks. - Integrate AI models with enterprise applications and external APIs. - Create robust prompts, retrieval pipelines, and agent architectures to solve business problems. - Optimize AI applications for performance, scalability, and reliability. - Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. - Implement best practices for testing, monitoring, and deployment of AI applications. - Utilize Elasticsearch for indexing, searching, and retrieval use cases where applicable. - Stay current with emerging trends and advancements in GenAI and Agentic AI technologies. ## Qualifications - Strong programming experience in Python. - Hands-on experience with Generative AI technologies and LLM-based application development. - Proven experience designing and implementing Agentic AI solutions using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar. - Experience working with prompt engineering, RAG (Retrieval-Augmented Generation), and AI orchestration patterns. - Knowledge of integrating AI services and APIs from leading model providers. - Familiarity with vector databases and embeddings. - Strong problem-solving skills and understanding of software engineering best practices. ## Good to Have - Experience with Elasticsearch for search and retrieval implementations. - Exposure to cloud platforms such as AWS, Azure, or Google Cloud. - Experience with containerization technologies such as Docker and Kubernetes. - Understanding of MLOps practices and AI application deployment. ## Additional Information - Generous Work-Life Balance: Flexible working hours and option to work from home. - Health & Wellbeing: Ergonomic workstations, subsidies for health services, sponsored sports events, etc. - Company Events & Community: Regular after-work sessions, shared breakfasts/lunches, summer and Christmas parties, team events, and more. - Open, Agile Culture: Flat hierarchies, high level of personal responsibility, international and diverse teams, friendly and supportive team spirit. - Training & Personal Development: Focus on promoting both technical and personal growth to ensure employees stay up to date. - Modern Tools & Workspace Design: Modern office, dual monitors, ergonomic equipment, and excellent on-site infrastructure.