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

Python Developer GenAI & Agentic AI (m/f/d) Full-time We are 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! 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. Responsibilities 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. Flexible working hours and option to work from home. Ergonomic workstations, subsidies for health services, sponsored sports events, etc. Regular after‑work sessions, shared breakfasts/lunches, summer and Christmas parties, team events, and more. Flat hierarchies, high level of personal responsibility, international and diverse teams, friendly and supportive team spirit. Focus on promoting both technical and personal growth to ensure employees stay up to date. Modern office, dual monitors, ergonomic equipment, and excellent on‑site infrastructure. #J-18808-Ljbffr