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Nagarro

Nagarro (Frankfurt: NA9) is a leader in digital product engineering and drives technology-led business breakthroughs.

Python Developer, GenAI – Agentic AI

Backend EngineerSoftware EngineerFull TimeRemoteSeniorTeam 10,001+Since 1996H1B SponsorCompany SiteLinkedIn

Location

Germany

Posted

1 day ago

Salary

0

Seniority

Senior

Job Description

Python Developer, GenAI – Agentic AI

Nagarro

• 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.

Job Requirements

  • 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.
  • Good to Have: Exposure to cloud platforms such as AWS, Azure, or Google Cloud.
  • Good to Have: Experience with containerization technologies such as Docker and Kubernetes.
  • Good to Have: Understanding of MLOps practices and AI application deployment.

Benefits

  • 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.

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