Staff Engineer, Generative AI

🔥 5 minutes ago

🌐 United States, India – Remote

🇺🇸 United States – Remote 🇮🇳 India – Remote

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🔴 Lead

🗣️ LLM Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nagarro

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

🏥 Healthcare

Consulting • Marketing • Healthcare

Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.

📋 Description

• Understand client business use cases and technical requirements and convert them into technical designs • Map decisions to requirements and translate them for developers • Identify and narrow down solution options that meet client requirements • Define guidelines and benchmarks for non-functional requirements during implementation • Write and review design documents covering application architecture, frameworks, and high-level design • Review architecture and design for extensibility, scalability, security, design patterns, user experience, and non-functional requirements • Develop and design complete solutions for functional and non-functional requirements • Define technologies, patterns, and frameworks for implementation • Apply technology integration learnings to projects • Resolve code and review issues through systematic root-cause analysis • Carry out proofs of concept to validate proposed designs and technologies • Architect and implement scalable GenAI and Agentic AI solutions end-to-end • Collaborate across product and engineering teams to convert business needs into AI-driven solutions • Productionize AI systems on Azure or AWS • Build and expose FastAPI APIs integrated with databases through an ORM • Scale GenAI solutions to support enterprise workloads

🎯 Requirements

• Total experience: 6+ years • Deep understanding of LLMs and Transformer architectures • Expert-level prompt engineering skills and proven experience implementing RAG patterns • High proficiency in Python and AI/ML libraries including LangChain, LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn, and PyTorch/TensorFlow • Experience with RAG architectures and prompt engineering • Strong experience with fine-tuning, distillation, and evaluation techniques • Strong experience using managed AI/ML services such as Azure Machine Learning Studio or AI Foundry • Strong understanding of vector databases such as Weaviate and Neo4j • Understanding of GenAI evaluation metrics including BLEU, ROUGE, perplexity, semantic similarity, and human evaluation • Production-ready Python coding, testing, and maintainability practices • Experience productionizing AI systems on Azure or AWS • Experience building APIs with FastAPI and integrating databases through an ORM • Experience scaling GenAI solutions for enterprise workloads • Proven production experience with GenAI deployments on Azure or AWS • Strong experience scaling AI solutions in live environments • Very strong Python programming skills with a record of clean, efficient, maintainable code • Successfully delivered at least one production GenAI/Agentic AI solution • Proficiency with FastAPI and at least one ORM, such as SQLAlchemy or Tortoise ORM • Familiarity with Model Context Protocol (MCP) • Contributions to open-source GenAI projects • Experience with React or another JavaScript framework is good to have • Excellent communication and cross-functional collaboration skills • Bachelor’s or master’s degree in computer science, Information Technology, or a related field

🏖️ Benefits

• Employees can work remotely • Dynamic and non-hierarchical work culture