Associate Principal Engineer, Generative AI
Nagarro
full-time
Posted on:
Location Type: Remote
Location: India
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About the role
- Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
- Mapping decisions with requirements and be able to translate the same to developers.
- Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements.
- Defining guidelines and benchmarks for NFR considerations during project implementation.
- Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers.
- Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
- Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
- Understanding and relating technology integration scenarios and applying these learnings in projects.
- Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Requirements
- Total experience 13+ years.
- Deep understanding of LLMs (e.g., GPTs, Llama, Claude, Gemini, Qwen, Mistral, BERT-family models) and their architectures (Transformers)
- Should have expert-level prompt engineering skills and proven experience implementing RAG patterns
- High proficiency in Python and standard AI/ML libraries (e.g., LangChain, LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn, PyTorch/TensorFlow).
- Experience implementing RAG architectures and prompt engineering.
- Strong experience with fine-tuning and distillation techniques and evaluation.
- Strong experience using managed AI/ML services on the target cloud platform (e.g., Azure Machine Learning Studio, AI Foundry).
- Strong understanding of vector databases (e.g., Weaviate, Neo4j) understanding of GenAI evaluation metrics (e.g., BLEU, ROUGE, perplexity, semantic similarity, human evaluation).
- Proven track record in deploying AI/ML solutions into production environments.
- Familiarity with MLOps pipelines for automation and monitoring.
- Experience working on generative AI applications
- Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
Benefits
- Employees can work remotely
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
prompt engineeringRAG patternsPythonAI/ML librariesfine-tuning techniquesdistillation techniquesevaluation techniquesMLOps pipelinesgenerative AI applicationsarchitecture design
Soft skills
communication skillscollaborationproblem-solvingsystematic analysisdecision justificationguideline definitionbenchmarkingclient requirement understandingsolution identificationreviewing design