Nagarro logo
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

Romania

Posted

2 days 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. • 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.
  • 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.

Benefits

  • Remote work options

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