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AI/ML Engineer – Agentic AI

  • Source: Indeed
  • Mandali Consultancy Services
  • Hybrid
  • State of Telangāna, India
  • Full-Time
  • Mid level

Job Description

Job Summary

We are looking for an experienced AI/ML Engineer with expertise in Agentic AI to design, develop, and deploy enterprise-grade AI solutions. The ideal candidate should have strong experience in Python, LLMs, RAG, multi-agent systems, and cloud platforms. �

AI ML - Agentic AI.docx

Key Skills

Python Development

Agentic AI (LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel)

OpenAI, Azure OpenAI, Anthropic

Retrieval-Augmented Generation (RAG)

Vector Databases (FAISS, Pinecone, Azure AI Search)

Azure / AWS / GCP

Docker & Kubernetes

AI Agent Orchestration & Multi-Agent Systems �

AI ML - Agentic AI.docx

Responsibilities

Design and deploy enterprise-grade autonomous AI agents.

Build AI workflows with reasoning, planning, memory, and task orchestration.

Develop RAG pipelines using vector databases and embedding models.

Integrate AI agents with enterprise applications and APIs.

Implement tool calling, guardrails, and feedback mechanisms.

Deploy AI solutions using Docker, Kubernetes, and cloud services.

Ensure Responsible AI, security, monitoring, and observability. �

AI ML - Agentic AI.docx

Required Skills

Python Programming

LangGraph, LangChain, CrewAI, AutoGen

OpenAI / Azure OpenAI / Anthropic

RAG & Vector Databases

Prompt Engineering

Multi-Agent Systems

REST APIs

Docker & Kubernetes

Azure / AWS / GCP �

AI ML - Agentic AI.docx

Good to Have

Semantic Kernel

Knowledge Graphs

Enterprise Copilot Development

Reinforcement Learning (RL)

LoRA Fine-Tuning

AI Supervisor Architectures �

AI ML - Agentic AI.docx

How to Apply

Interested candidates can send their updated resume to:

Mandali Consultancy Services

Email: [email protected]

Mobile: 9121278666 / 7799425762

Pay: ₹1,000,000.00 - ₹1,600,000.00 per year

Work Location: Hybrid remote in Hyderabad, Telangana (Hyderabad District)

Skills

  • Python
  • LangGraph
  • LangChain
  • crewai
  • microsoft-azure
  • FAISS
  • azure-search
  • amazon-web-services
  • google-cloud-platform
  • Docker
  • Kubernetes
  • guardrails
  • gmail
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