Generative AI 5- 11 yrs

Infosys; Pune District, Mumbai, Bengaluru; Ibrido; INR 2.000.000 - 4.000.000; Tempo pieno

Descrizione del lavoro

Infosys seeks a Generative AI Engineer to design, develop, and deploy enterprise-grade AI applications powered by LLMs, autonomous agents, and advanced retrieval systems.

The role focuses on building Agentic AI solutions, RAG pipelines, MCP integrations, and multi-agent systems while collaborating with data scientists, product teams, and software engineers.

Competenze

• 2-6 years of software development experience.
• Strong Python proficiency.
• Hands-on experience with Generative AI and LLMs.
• Experience building RAG pipelines.
• Knowledge of Agentic AI architectures and autonomous AI agents.
• MCP integration experience and AI tooling.
• Experience with AI Agent Frameworks and vector databases.
• Familiarity with REST APIs, microservices, Git, Docker, Kubernetes.

Mansioni

• Design and develop AI-powered applications using Generative AI and LLMs.
• Build and deploy Agentic AI solutions with autonomous reasoning.
• Implement RAG architectures using vector databases and enterprise data 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 and knowledge management.
• Integrate AI services with enterprise apps via APIs and microservices.
• Collaborate with data scientists, product teams and software engineers.
• Evaluate emerging AI tech and recommend best practices.

Conoscenze

Python

Generative AI

LLMs

RAG

MCP

Agentic AI

AI frameworks

REST APIs

Microservices

Git

Docker

Kubernetes

Vector DBs

Formazione

Bachelor's or Master's in CS/AI/DS

Strumenti

LangGraph

LangChain

CrewAI

AutoGen

Semantic Kernel

LlamaIndex

Pinecone

ChromaDB

Weaviate

Milvus

FAISS

OpenAI / Azure OpenAI

Claude / Gemini

Descrizione del lavoro

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.