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

Position Overview:

• We are seeking an experienced Generative AI Engineer Senior Technologist with extensive hands-on experience in Python, focusing on Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI fine-tuning, and cloud deployment.
• The successful candidate will possess a comprehensive understanding of LLM architectures from a systems perspective and demonstrate the ability to design, build, deploy, and assess end-to-end AI solutions tailored for enterprise-level applications.
• This position demands exceptional engineering skills, adept problem-solving abilities, and practical experience with contemporary AI frameworks, cloud-native deployment, and model engineering principles.

Main Responsibilities:

• Create and develop enterprise-quality Generative AI solutions utilizing Python and state-of-the-art AI frameworks.
• Construct AI applications leveraging LLMs, embeddings, prompt engineering, function calling, tool utilization, and agentic AI methodologies.
• Establish Retrieval Augmented Generation (RAG) pipelines for enterprise knowledge retrieval and content generation tasks.
• Design comprehensive AI solutions that encompass
• o Data ingestion
• o Data processing
• o Retrieval
• o Generation
• o Evaluation
• Collaborate with Agentic AI frameworks including CrewAI, LangChain, LangGraph, LlamaIndex, AutoGen, and Langfuse.
• Implement prompt engineering techniques to enhance the accuracy, reliability, and usability of LLMs.
• Assess the appropriateness of fine-tuning versus RAG based on both business and technical criteria.
• Facilitate LLM fine-tuning processes, including instruction tuning and supervised fine-tuning.
• Oversee data preparation for fine-tuning, ensuring train-validation splits, data quality assessments, and contamination prevention.
• Deploy AI workloads on cloud services such as Azure, AWS, or GCP.
• Containerize AI applications using Docker and engage with basic Kubernetes concepts.
• Adopt model engineering best practices to develop scalable, reliable, and production-ready AI systems.

Desired 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