Senior Gen-AI Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• Design, develop, and maintain scalable APIs and backend services utilizing Python and FastAPI along with related frameworks.

• Construct, deploy, and enhance production-grade LLM applications using providers like OpenAI and Anthropic.

• Create and execute comprehensive RAG solutions, encompassing vector databases, semantic search, retrieval optimization, and chunking strategies.

• Develop and oversee secure, scalable MCP servers and AI infrastructure.

• Build and orchestrate multi-agent systems to automate intricate workflows and business processes.

• Generate, test, and refine prompts, agent instructions, and LLM interactions to enhance solution quality and performance.

• Utilize AI-assisted development tools (such as Claude Code, Cursor, GitHub Copilot) to accelerate software delivery and boost engineering efficiency.

• Implement event-driven architectures, messaging systems, and patterns for real-time communication.

• Monitor, troubleshoot, and optimize AI and backend systems for performance, reliability, scalability, and security.

• Collaborate with cross-functional teams to deliver cutting-edge AI solutions and establish best practices in engineering.

⛳️ Requirements

• A minimum of 8 years of experience in API development using Python.

• At least 2 years of experience in developing and experimenting with LLMs.

• Daily hands-on experience with AI-assisted and agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, autonomous coding agents).

• Extensive experience with Python, especially in creating REST APIs using frameworks such as FastAPI.

• A solid grounding in NLP and machine learning as they pertain to LLM system development.

• Strong experience working with major LLM model APIs (e.g., OpenAI, Anthropic).

• Proven experience in building, deploying, and securing MCP servers at scale.

• Understanding of multi-agent systems and their application in complex problem-solving situations.

• Capability to design and implement RAG systems end-to-end, including vector databases, semantic search, retrieval quality, and chunking strategy.

• Experience in writing prompts for various applications.

• Background in deploying generative solutions to production at scale, beyond just proof of concepts.

• Proficiency with server-side events, event-driven architectures, and messaging systems.

• Strong critical thinking and systems thinking abilities, with experience in debugging, optimizing, and making sound engineering decisions across complex backend systems.

• Comprehensive understanding of security best practices for backend systems, including authentication and data protection.

🏝️ Benefits

• 30 days of paid vacation.

• Opportunities for internal and external training.

• MyN – Nagarro Employee Share Program.

• Attractive arrangements for company bicycles.

• Modern office spaces located centrally with advanced technology.

• Access to sports programs.

• Entry to the corporate benefits portal.

• Complimentary fruit and beverages.