Job Description
Full details about the role and requirements
Yukerja Summary
The Python Developer GenAI & Agentic AI (m/f/d) role at Nagarro is curated from Himalayas (category Teknologi & IT). This role is marked as remote — check timezone and location requirements on the official listing. Yukerja.com is not the employer — applications are handled on the official source site.
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.
- 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.
- 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.
?? 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!
Originally posted on Himalayas