Agentic AI Engineer

Magnet HR Tech Digital; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Magnet HR Tech Digital in Bengaluru, India, is hiring a Senior Associate AI Engineer focused on building resilient, production-grade AI agents with strong emphasis on security, verification, and telephony integrations.

You will leverage AWS Bedrock to develop multi-agent applications, implement LLM evaluation techniques, safety guardrails, and MCP-based integrations with internal systems. Cloud-native deployment uses Docker, Kubernetes, and advanced Python.

Qualifications

• Experience building production-grade RAG pipelines with agentic frameworks.
• Strong experience with LLM evaluation metrics and safety guardrails.
• Familiarity with MCP and model integration.
• Hands-on with Docker, Kubernetes, and Python (FastAPI).

Responsibilities

• Develop and implement complex Agentic Frameworks and production-grade RAG pipelines.
• Establish rigorous LLM evaluation metrics and programmatic safety guardrails.
• Integrate internal systems with foundational models utilizing Model Context Protocol (MCP).
• Build and optimize automated voice systems for Contact Center Services.
• Write backend services using Advanced Python / FastAPI and deploy via Docker & Kubernetes.

Skills

Agentic Frameworks

Production RAG

LLM evaluation

Model Context Protocol (MCP)

Evaluations and Guardrails

AWS Bedrock

Advanced Python

FastAPI

Docker

Kubernetes

Voice Agents / Contact Center

Tools

Docker

Kubernetes

Job description

• Level / Experience: Senior Associate (SA) | 4 to 7 Years
• Job Overview: We are hiring an Agentic AI Engineer dedicated to building resilient, production-ready AI agents with a heavy focus on security, verification, and telephony integrations. You will leverage AWS Bedrock to build multi-agent applications, while implementing state-of-the-art LLM evaluation techniques, safety guardrails, and compliance checks. A major aspect of this role includes extending these capabilities to automated voice solutions for Contact Center Services. You will build integrations using Model Context Protocol (MCP) to seamlessly link LLMs with local development tools and internal systems. Everything you build will run on cloud-native infrastructure, requiring day-to-day proficiency with Docker, Kubernetes, and Advanced Python.
• Key Responsibilities:
  • Develop and implement complex Agentic Frameworks and production-grade RAG pipelines.
  • Establish rigorous LLM evaluation metrics and programmatic safety guardrails.
  • Integrate internal systems with foundational models utilizing Model Context Protocol (MCP).
  • Build and optimize automated voice systems for Contact Center Services.
  • Write backend services using Advanced Python / FastAPI and deploy via Docker & Kubernetes.
• Required Skills: Agentic Frameworks, production RAG, LLM evaluation, MCP, Evaluations and Guardrails, AWS Bedrock, Advanced Python and FastAPI, Docker/Kubernetes, Contact Center Services - Voice Agents.

Skills: fastapi,kubernetes,python,agents,docker