Generative AI Female 5- 11 yrs

Infosys; Pune District, Mumbai, Bengaluru; Sur place; INR 1 200 000 - 2 400 000; Plein temps

Résumé du poste

Infosys seeks a Generative AI Engineer to design, develop, and deploy enterprise-grade AI applications powered by LLMs and autonomous agents. You will implement RAG architectures, integrate MCP for AI tools and data, and build multi-agent systems using modern frameworks.

The role requires hands-on experience with Python, Generative AI, and AI tooling; collaboration with data scientists and software engineers; and a focus on production-ready AI solutions across enterprise contexts.

Qualifications

• 2–6 years of software development experience.
• Proficient in Python and GenAI.
• Hands-on with Generative AI and LLMs.
• Experience building RAG pipelines.
• Knowledge of Agentic AI architectures and autonomous agents.
• Experience with MCP integration and AI tooling.

Responsabilités

• Design and develop AI-powered applications using Generative AI and LLMs.
• Build and deploy Agentic AI solutions capable of autonomous reasoning and task execution.
• Implement RAG architectures using vector databases and knowledge sources.
• Develop MCP integrations for AI tool and data connectivity.
• Build multi-agent systems using modern Agent Frameworks.
• Fine-tune prompts and optimize LLM performance for business use cases.
• Develop AI workflows for document processing, knowledge management, and conversational AI.
• Integrate AI services with enterprise applications using APIs and microservices.
• Collaborate with data scientists, product teams, and software engineers to deliver AI solutions.
• Evaluate emerging AI technologies and recommend best practices.

Connaissances

Python

Generative AI

LLMs

RAG

Agentic AI

MCP

REST APIs

Microservices

Git

Docker

Kubernetes

Formation

Bachelor's or Master's in CS/AI/Data Science

Outils

LangGraph

LangChain

CrewAI

AutoGen

Semantic Kernel

LlamaIndex

Pinecone

ChromaDB

Weaviate

Milvus

FAISS

Description du poste

Job Summary

We are seeking a highly motivated Generative AI Engineer with hands‑on experience in Generative AI, Agentic AI, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), and AI Agent Frameworks. The ideal candidate will be responsible for designing, developing, and deploying enterprise‑grade AI applications powered by Large Language Models (LLMs), autonomous agents, and advanced retrieval systems.

Key Responsibilities

• Design and develop AI-powered applications using Generative AI and Large Language Models (LLMs).
• Build and deploy Agentic AI solutions capable of autonomous reasoning and task execution.
• Implement RAG architectures using vector databases and enterprise knowledge sources.
• Develop integrations using Model Context Protocol (MCP) for AI tool and data connectivity.
• Build multi-agent systems using modern Agent Frameworks.
• Fine-tune prompts and optimize LLM performance for business use cases.
• Develop AI workflows for document processing, knowledge management, and conversational AI.
• Integrate AI services with enterprise applications using APIs and microservices.
• Collaborate with data scientists, product teams, and software engineers to deliver AI solutions.
• Evaluate emerging AI technologies and recommend best practices.

Required Skills

• 2-6 years of software development experience.
• Strong proficiency in Python.
• Hands‑on experience with Generative AI and Large Language Models.
• Experience building RAG (Retrieval-Augmented Generation) pipelines.
• Knowledge of Agentic AI architectures and autonomous AI agents.
• Experience with MCP (Model Context Protocol) integration and AI tooling.
• Hands‑on experience with AI Agent Frameworks such as:
• LangGraph
• LangChain
• CrewAI
• AutoGen
• Semantic Kernel
• LlamaIndex
• Experience with Vector Databases:
• Pinecone
• ChromaDB
• Weaviate
• Milvus
• FAISS
• Experience with OpenAI, Azure OpenAI, Claude, Gemini, or Open Source LLMs.
• Strong understanding of Prompt Engineering and AI application development.
• Experience with REST APIs and Microservices.
• Familiarity with Git, Docker, and Kubernetes.

Preferred Skills

• Experience with AI Observability and Evaluation Tools.
• Knowledge of Fine-Tuning and Model Optimization.
• Experience with Cloud Platforms (Azure, AWS, GCP).
• Exposure to NLP, Machine Learning, and Deep Learning concepts.
• Knowledge of CI/CD for AI deployments (LLMOps).
• Experience building AI Chatbots, AI Assistants, and Enterprise Search solutions.

Educational Qualification

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.