Generative AI Engineer (Multi-Agent AI & RAG

? Location: Hyderabad / Bangalore

? Work Model: Hybrid / Remote

? Working Days: 5 Days a Week

? Experience: 7+ Years

Role Overview

We are seeking an experienced Generative AI Engineer with solid expertise in Multi-Agent AI Systems and RAG (Retrieval-Augmented Generation) Architecture . The ideal candidate should have hands-on experience designing, developing, and deploying enterprise-grade AI solutions powered by LLMs, agent orchestration, semantic retrieval, and intelligent automation.

Key Responsibilities

- Design and develop enterprise-scale Multi-Agent AI solutions .
- Build and optimize RAG architectures , including ingestion, chunking, embeddings, vector indexing, retrieval, and grounded response generation.
- Develop agent workflows involving orchestration, tool calling, routing, memory, and decision-making.
- Integrate AI applications with enterprise systems, APIs, databases, and knowledge repositories.
- Implement prompt engineering, evaluation mechanisms, guardrails, and hallucination-reduction strategies.
- Build scalable backend services and APIs for AI-powered applications.
- Deploy,



monitor, and optimize AI solutions in cloud environments.

Mandatory Requirements
- 7+ years of overall IT experience.
- Strong experience in Generative AI and LLM-based applications .
- Hands-on Multi-Agent Development experience (Mandatory).
- Hands-on RAG Architecture experience (Mandatory).
- Experience with vector databases, embeddings, semantic search, and retrieval systems.
- Strong proficiency in Python and API development.
- Experience building and deploying production-grade AI solutions.

Preferred Qualifications
- BE/BTech, ME/MTech, or MS from a reputed institution.
- Experience with enterprise AI, agentic workflows, and large-scale knowledge systems.
- Exposure to cloud platforms, containerization, CI/CD, and AI observability.

Ideal Candidate
- Has built real-world Multi-Agent systems , not just supporting tools or integrations.
- Has deep expertise in RAG implementation and optimization .
- Can independently architect, develop, and deploy enterprise GenAI solutions.

📌 Gen AI Engineer (Bengaluru)
🏢 Peoplescout
📍 Bengaluru