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Senior Engineer, GENERATIVE-AI at Nagarro

, , Sri Lanka -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Generative Ai Fundamentals, Machine Learning On Azure, Llm Development, Rag Pipelines, Prompt Engineering, Model Fine-Tuning, Model Distillation, Genai Metrics, Ai Workflows, Langchain, Llamaindex, Langgraph, Langsmith, Hugging Face Transformers

Industry

IT Services and IT Consulting

Description

Company Description 👋🏼We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description Years of Experience : 4 - 6 years Must have Skills : Python (Strong), Generative AI Fundamentals (Strong), Machine Learning on Azure (Strong), Job Description : Design, develop, and deploy applications leveraging LLMs (e.g., GPT, LLaMA, Claude, Gemini, Mistral, BERT-family). Implement RAG pipelines integrating LLMs with vector or graph databases (e.g., Weaviate, Neo4j) for knowledge-grounded responses. Apply prompt engineering and prompt optimization techniques to enhance LLM performance. Perform fine-tuning, model distillation, and evaluation using standard GenAI metrics (BLEU, ROUGE, perplexity, semantic similarity, etc.). Develop and maintain robust AI workflows using frameworks such as LangChain, LlamaIndex, LangGraph, LangSmith, and Hugging Face Transformers. Collaborate with teams to integrate AI models into scalable production systems. Monitor model performance, troubleshoot issues, and continuously optimize inference pipelines. Stay up to date with emerging trends and research in Generative AI, Transformers, and LLM architectures.

Responsibilities

Design, develop, and deploy applications leveraging large language models (LLMs). Collaborate with teams to integrate AI models into scalable production systems and monitor model performance.