Senior Generative AI Engineer
12 hours ago
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 experts across 39 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
By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.
Job DescriptionWe're looking for a Senior Generative AI Engineer with 7+ years of experience in software development and a solid background in FastAPI, LLM frameworks, and large-scale AI systems.
- Build and deploy scalable GenAI applications using Python (FastAPI) and modern LLM frameworks.
- Design event-driven, asynchronous microservices for chatbots, copilots, and agentic workflows.
- Implement secure REST/gRPC APIs and maintain clean, modular code using Pydantic and dependency injection.
- Integrate databases (SQLAlchemy, BigQuery) and ensure observability across services.
- Develop LLM-powered conversational interfaces using LangChain, OpenAI, Gemini, or Claude.
- Create RAG pipelines and apply prompt engineering for grounded, intelligent interactions.
- Fine-tune open-source LLMs (LLaMA variants) and optimize inference on multi-GPU clusters.
- Develop and orchestrate multi-agent systems using LangGraph, ADK, and Pydantic AI.
- Deploy on Cloud Run / GKE using Docker and CI/CD pipelines.
- Collaborate cross-functionally to deliver high-performance, production-ready AI solutions.
- FastAPI – strong, hands-on experience building scalable asynchronous microservices
- LLM Application Frameworks – solid experience with LangChain, LangGraph, Pydantic AI, or similar orchestration frameworks
- Google BigQuery – experience integrating and querying large-scale datasets
- OpenAI APIs and REST/gRPC – proven experience working with enterprise-grade LLM APIs (GPT-4, Gemini, Claude, Mistral)
Preferred Tech Stack:
- Languages/Frameworks: Python, FastAPI, , LangChain, LangGraph, Pydantic AI, ADK
- LLMs & Agents: OpenAI (GPT-4), Claude, Gemini, Mistral, LLaMA 3.2/4
- Databases: BigQuery, Redis, FAISS, Pinecone, SQLAlchemy, Chroma, GCP Vector Search
- APIs/Protocols: REST, gRPC, WebSockets, OAuth2, OpenAPI, MCP, A2A
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