Senior Staff Engineer – Generative AI, NLP

🔥 2 minutes ago

🔔 Pennsylvania – Remote

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⏰ Full Time

🟠 Senior

🗣️ LLM Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 10%

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Nagarro

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 solutions that best meet client requirements • Define guidelines and benchmarks for non-functional requirements during project implementation • Write and review design documents covering architecture, frameworks, and high-level application design • Review architecture and design for extensibility, scalability, security, design patterns, user experience, and non-functional requirements • Develop and design solutions for functional and non-functional requirements • Define technologies, patterns, and frameworks for implementation • Understand technology integration scenarios and apply learnings in projects • Resolve code and review issues through systematic root-cause analysis and justify decisions • Carry out proofs of concept to validate proposed designs and technologies

🎯 Requirements

• Total experience 8+ years • Deep understanding of LLMs, including GPTs, Llama, Claude, Gemini, Qwen, Mistral, and BERT-family models • Understanding of 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 implementing RAG architectures and prompt engineering • Strong experience with fine-tuning, distillation techniques, and evaluation • 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 • Proficiency in building complex Deep Learning and GenAI pipelines • Experience with computer vision, Deep Learning, NLP, and GenAI technology stacks • Understanding of GenAI evaluation metrics including BLEU, ROUGE, perplexity, semantic similarity, and human evaluation • Ability to architect and implement scalable GenAI and Agentic AI solutions end-to-end • Ability to write production-ready Python code with strong testing and maintainability practices • Ability to productionize AI systems on Azure or AWS • Ability to build and expose APIs using FastAPI and integrate with databases through an ORM • Ability to scale GenAI solutions for enterprise workloads • Strong ability to architect and code GenAI/Agentic AI solutions • Proven production experience with GenAI deployments on Azure • Strong experience scaling AI solutions in live environments • Very strong Python programming skills with a track record of clean, efficient, and 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 • Good to have experience with React or other JavaScript frameworks for user-facing interfaces and front-end integrations • Excellent communication and cross-functional collaboration skills • Bachelor’s or master’s degree in computer science, Information Technology, or a related field

🏖️ Benefits

• Remote work • Opportunity to work at a digital product engineering company operating across 40 countries • Dynamic and non-hierarchical work culture

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