Senior AI/Generative AI Technologist with Python Expertise

Infosys; Bengaluru; Vor Ort; INR 3.500.000 - 6.500.000; Vollzeit

Zusammenfassung

Infosys is seeking a Senior Technologist to design and build enterprise-grade Generative AI solutions using Python and modern frameworks. You will work with LLMs, embeddings, prompts, and tool usage to create scalable AI applications.

You will evaluate RAG vs fine-tuning, implement data ingestion and deployment pipelines, and collaborate with CrewAI, LangChain, and other AI frameworks in a cloud environment. The role emphasizes production-ready AI and containerized workloads.

Qualifikationen

• Proficient Python development with enterprise-grade delivery.
• Strong experience with Generative AI models and LLMs.
• Familiarity with embeddings, prompts, and function calling.
• Experience in production AI systems and cloud deployments.

Aufgaben

• 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.
• 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, reliability, and usability.
• Evaluate 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 and data quality checks.
• 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.

Kenntnisse

Python

LLMs

Prompt engineering

RAG

Tools

LangChain

LangGraph

LlamaIndex

AutoGen

Langfuse

CrewAI

Jobbeschreibung

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

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.