Agentic AI, Gen AI

Infosys; Hyderabad, Bengaluru, Mumbai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Infosys is seeking an innovative Agentic AI & Generative AI Engineer to design, develop, and deploy next-generation AI applications powered by Large Language Models (LLMs), autonomous AI agents, and Generative AI frameworks.

The role requires hands-on experience building AI copilots, multi-agent systems, RAG-based solutions, and enterprise-grade GenAI applications. You will integrate LLMs with enterprise systems and contribute to scalable AI-driven products.

Qualifications

• 2-9 years of experience in AI engineering or related field.
• Hands-on experience with LLMs, GenAI frameworks, and multi-agent systems.

Responsibilities

• Design and develop Agentic AI solutions leveraging LLMs and autonomous AI workflows.
• Build and deploy Generative AI applications including chatbots, copilots, virtual assistants, and knowledge assistants.
• Develop multi-agent orchestration frameworks for solving complex business problems.
• Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise data sources.
• Integrate LLMs with enterprise systems, APIs, databases, and knowledge repositories.
• Fine-tune, evaluate, and optimize AI models for performance and scalability.
• Implement prompt engineering, agent planning, memory management, and tool-calling mechanisms.
• Develop monitoring, observability, security, and governance frameworks for AI solutions.
• Collaborate with Business Analysts, Product Owners, Architects, and Data Scientists to deliver AI-driven products.
• Stay updated with emerging GenAI, Agentic AI, and LLM technologies.

Skills

Agentic AI

LLMs

Generative AI

Job description

Job Description -Agentic AI & Generative AI Engineer

Experience: 2-9 Years

Job Summary

We are looking for an innovative Agentic AI & Generative AI Engineer to design, develop, and deploy next-generation AI applications powered by Large Language Models (LLMs), autonomous AI agents, and Generative AI frameworks. The ideal candidate should have hands-on experience building AI copilots, multi-agent systems, RAG-based solutions, and enterprise-grade GenAI applications.

Key Responsibilities

• Design and develop Agentic AI solutions leveraging LLMs and autonomous AI workflows.
• Build and deploy Generative AI applications including chatbots, copilots, virtual assistants, and knowledge assistants.
• Develop multi-agent orchestration frameworks for solving complex business problems.
• Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise data sources.
• Integrate LLMs with enterprise systems, APIs, databases, and knowledge repositories.
• Fine-tune, evaluate, and optimize AI models for performance and scalability.
• Implement prompt engineering, agent planning, memory management, and tool-calling mechanisms.
• Develop monitoring, observability, security, and governance frameworks for AI solutions.
• Collaborate with Business Analysts, Product Owners, Architects, and Data Scientists to deliver AI-driven products.
• Stay updated with emerging GenAI, Agentic AI, and LLM technologies.