Staff Engineer, Generative AI
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Job Description
Staff Engineer architecting and coding scalable Generative AI and Agentic AI solutions at Nagarro, a digital product engineering company. Deploying enterprise AI systems on Azure or AWS.
Responsibilities:
- 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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