Senior Technologist - AI/GenAI-Q3 FY 26

Job Overview:

• We are in search of an experienced Generative AI Engineer Senior Technologist, possessing extensive hands-on expertise in Python, Large Language Models, Retrieval Augmented Generation (RAG), Agentic AI fine-tuning, and cloud deployment.
• The candidate must demonstrate a profound understanding of LLM architectures from a systems perspective, along with the capability to design, develop, deploy, and assess comprehensive AI solutions tailored for enterprise applications.
• This position demands robust engineering skills, adept problem-solving abilities, and practical experience with contemporary AI frameworks, cloud-native deployment, and model engineering methodologies.

Essential Duties:

• Craft and implement enterprise-level Generative AI solutions utilizing Python and state-of-the-art AI frameworks.
• Create AI applications employing LLMs, embeddings, prompts, function calling, tool usage, and Agentic AI paradigms.
• Establish Retrieval Augmented Generation (RAG) pipelines to facilitate enterprise knowledge retrieval and generation initiatives.
• Design comprehensive AI solutions encompassing:
• o Data ingestion
• o Data processing
• o Retrieval
• o Generation
• o Evaluation
• Engage with Agentic AI frameworks, including CrewAI, LangChain, LangGraph, LlamaIndex, AutoGen, and Langfuse.
• Employ prompt engineering techniques to enhance LLM precision, dependability, and user experience.
• Assess the appropriateness of fine-tuning versus RAG in alignment with business and technical objectives.
• Facilitate LLM fine-tuning processes, including instruction tuning and supervised fine-tuning.
• Oversee data preparation for fine-tuning, ensuring proper training and validation splits, data quality assessments, and contamination prevention measures.
• Deploy AI workloads on cloud platforms such as Azure, AWS, or GCP.
• Containerize AI applications utilizing Docker and possess foundational knowledge of Kubernetes concepts.
• Implement model engineering best practices for the development of scalable, reliable, and production-ready AI systems.

Preferred Qualifications:

Technology->AI-Responsible AI->Responsible AI->explainable ai,Technology->AI-Generative AI->Artificial Intelligence - BASIC,Technology->Programming Languages - OS->Open Systems (Unix/Linux),Technology->AI-AI Engineering->AI/ML Solution Architecture and Design->generative ai