Job Description:

We are looking for a highly skilled Generative AI Engineer Senior Technologist with strong hands on experience in Python Large Language Models RAG Agentic AI fine tuning and cloud deployment
The ideal candidate should have a deep understanding of LLM architectures at a systems level and the ability to design build deploy and evaluate end to end AI solutions for enterprise use cases
This role requires strong engineering capability problem solving skills and practical exposure to modern AI frameworks cloud native deployment and model engineering concepts

Key Responsibilities:

Design and develop enterprise grade Generative AI solutions using Python and modern AI frameworks
Build AI applications using LLMs embeddings prompts function calling tool usage and agentic AI patterns
Implement Retrieval Augmented Generation RAG pipelines for enterprise knowledge retrieval and generation use cases
Design end to end AI solutions covering
o Data ingestion
o Data processing
o Retrieval
o Generation
o Evaluation
Work with Agentic AI frameworks such as CrewAI LangChain LangGraph LlamaIndex AutoGen and Langfuse
Apply prompt engineering strategies to improve LLM accuracy reliability and usability
Evaluate the suitability of fine tuning vs RAG based on business and technical requirements
Support LLM fine tuning workflows including instruction tuning and supervised fine tuning
Manage data preparation for fine tuning including train validation splits data quality checks and contamination prevention
Deploy AI workloads on cloud platforms such as Azure AWS or GCP
Containerize AI applications using Docker and work with basic Kubernetes concepts
Apply model engineering best practices for scalable reliable and production ready AI systems

Preferred Skills:

Technology->Programming Languages - OS->Open Systems (Unix/Linux),Technology->AI-AI Engineering->AI/ML Solution Architecture and Design->traditional ai ml,Technology->Programming Languages - OS->Python - Open Source

Senior Technologist - AI/GenAI/Python-Q3 FY 27