Staff Engineer, Generative AI

🔥 48 minutes ago

🔔 Pennsylvania – Remote

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⏰ Full Time

🔴 Lead

🗣️ LLM Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 10%

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Logo of Nagarro

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 clients’ business use cases and technical requirements and convert them into technical designs • Map decisions to requirements and translate them for developers • Identify alternative solutions and select the best option for client requirements • Define guidelines and benchmarks for non-functional requirements during project 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 overall solutions for functional and non-functional requirements • Define technologies, patterns, and frameworks for implementation • Understand technology integration scenarios and apply these 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: 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 standard 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 on cloud platforms, such as Azure Machine Learning Studio and 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 • Ability to architect and implement scalable GenAI and Agentic AI solutions end-to-end • Ability to write high-quality, 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, integrating with databases through an ORM • Ability to scale 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 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 • Experience with React or another JavaScript framework is desirable • Excellent communication skills and ability to collaborate with cross-functional teams • Bachelor’s or master’s degree in computer science, Information Technology, or a related field

🏖️ Benefits

• Employees can work remotely

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