Agentic AI, Gen AI _A

Infosys; Hyderabad, Bengaluru, Mumbai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Infosys is seeking an Agentic AI & Generative AI Engineer to design, develop, and deploy next-generation AI applications powered by LLMs, autonomous AI agents, and GenAI frameworks.

The candidate will have hands-on experience building AI copilots, multi-agent systems, and RAG-based solutions for enterprise-grade GenAI applications, collaborating with cross-functional teams to deliver AI-powered products.

Qualifications

• 3-6 years of relevant experience in AI engineering.
• Hands-on experience with LLMs, autonomous AI agents, and GenAI frameworks.
• Experience building AI copilots, multi-agent systems, and RAG-based solutions.
• Ability to design, develop, deploy enterprise-grade GenAI applications.

Responsibilities

• Design and develop Agentic AI solutions leveraging LLMs and autonomous workflows.
• Build and deploy Generative AI applications including chatbots and copilots.
• Develop multi-agent orchestration frameworks to solve business problems.
• Build 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.
• Develop monitoring, observability, security, and governance for AI solutions.
• Collaborate with Business Analysts, Product Owners, Architects, and Data Scientists.
• Stay updated with GenAI, Agentic AI, and LLM technologies.

Job description

Job Description -Agentic AI & Generative AI Engineer

Experience: 3-6 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.