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LLM Engineer (m/f/d)

Nagarro | Built In

RemoteRemote OKFull-time$140k – $220k / year

About this role

LLM Engineer (m/f/d) - Nagarro | Built In Nagarro LLM Engineer (m/f/d) Sorry, this job was removed at 04:25 a.m. (UTC) on Tuesday, Jul 28, 2026 Be an Early Applicant Hiring Remotely in DE Remote Senior level Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics The Role Build and ship LLM-powered, full-stack features in a large-scale production application. Design and implement RAG systems, retrieval, agents, and evaluation; develop backend services and APIs; deploy multi-agent systems; apply security best practices; collaborate cross-functionally and own features end-to-end while using AI-assisted coding tools to automate and optimize delivery. Summary Generated by Built In Company Description 👋🏼 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! Job Description You will join an existing development team to build and ship LLM-powered features in a complex, large-scale production application. This is a hands-on, full-stack role spanning backend services, APIs, and the LLM systems (retrieval, agents, and evaluation) that power them. You will work as an agentic engineer, leveraging AI coding tools and autonomous agents to write code, automate workflows, and optimize delivery. Working closely with globally distributed teams across multiple time zones, you will own features end-to-end. In this role, you will: - Bring senior-level expertise in Python and LLM engineering. - Independently plan, execute, and deliver technical solutions. - Collaborate effectively with Product Owners and stakeholders to solve complex

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