Senior Technologist - AI/GenAI-Q3 FY 26

Infosys; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Infosys is seeking a highly skilled Generative AI Engineer / Senior Technologist with hands-on experience in Python, Large Language Models, RAG, agentic AI, fine-tuning, and cloud deployment to design, build, deploy and evaluate enterprise AI solutions.

You will build AI apps using LLMs, embeddings, prompts, function calling and tool usage; implement RAG pipelines; deploy on cloud platforms (Azure/AWS/GCP); containerize with Docker and work with Kubernetes basics.

Qualifications

• Bachelor of Engineering degree required.
• Hands-on experience with Python and AI frameworks.
• Experience deploying AI on cloud platforms.

Responsibilities

• Design 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.
• Design end-to-end AI solutions covering data ingestion, processing, retrieval, generation, and evaluation.
• Work with Agentic AI frameworks such as CrewAI, LangChain, LangGraph, LlamaIndex, AutoGen, Langfuse.
• Apply prompt engineering strategies to improve LLM accuracy and usability.
• Evaluate fine-tuning vs RAG based on business/technical needs.
• Support LLM fine-tuning workflows including instruction tuning and supervised fine-tuning.
• Manage data preparation for fine-tuning with train/validation splits and data quality checks.
• Deploy AI workloads on Azure, AWS, or GCP; containerize with Docker; basic Kubernetes concepts.
• Apply model engineering best practices for scalable, reliable AI systems.

Skills

Python

Large Language Models

RAG

Agentic AI

Fine-tuning

Cloud deployment

Education

Bachelor of Engineering

Tools

Docker

Kubernetes

Job description

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.

Roles 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:
  • Data ingestion
  • Data processing
  • Retrieval
  • Generation
  • 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.

Educational Requirement

Bachelor of Engineering

Preferred Skills

Technology->AI-Responsible AI->Responsible AI->explainable ai,Technology->AI-Generative AI->Artificial Intelligence - BASIC,Technology->Open System->Open System- ALL,Technology->AI-AI Engineering->AI/ML Solution Architecture and Design->generative ai

Service Line

Strategic Technology Group