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AI/ML Engineer – Agentic AI | 8 yrs experience

  • Source: Indeed
  • Enqora Solutions
  • Remote
  • India
  • Mid level

Job Description

Job Overview

We are looking for an experienced AI/ML Engineer with strong hands-on expertise in Agentic AI, Python, Large Language Models (LLMs), and multi-agent orchestration.

The ideal candidate should have experience designing, developing, deploying, and maintaining production-grade AI agents and enterprise AI applications.

Key Responsibilities

  • Design and develop autonomous AI agents capable of planning, reasoning, decision-making, and executing multi-step tasks.
  • Build multi-agent workflows using LangGraph, LangChain, CrewAI, AutoGen, or similar frameworks.
  • Develop scalable Python services and APIs using FastAPI.
  • Implement tool calling, function calling, agent memory, and state management.
  • Develop Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases.
  • Integrate LLMs with enterprise applications, external APIs, and data sources.
  • Implement agent evaluation, monitoring, security controls, and guardrails.
  • Deploy and maintain AI applications using cloud services, Docker, Kubernetes, and CI/CD.
  • Collaborate with engineering teams to deliver production-ready Agentic AI solutions.

Required Skills

  • 8+ years of overall IT/software engineering experience.
  • Strong production-level Python programming experience.
  • Hands-on experience building Agentic AI applications.
  • Experience with LangGraph or equivalent agent orchestration frameworks.
  • Strong understanding of ReAct, planning, multi-agent systems, and tool-augmented agents.
  • Experience with LLM APIs, prompt engineering, RAG, embeddings, and vector databases.
  • Experience with FastAPI, REST APIs, asynchronous programming, and concurrency.
  • Knowledge of agent evaluation, observability, guardrails, and secure AI development.
  • Experience deploying AI/ML applications in production.

Preferred Skills

  • Azure OpenAI, Azure AI Foundry, or equivalent cloud AI services.
  • Model Context Protocol (MCP).
  • Docker, Kubernetes, and cloud-native architectures.
  • CI/CD, LLMOps, and AI application monitoring.
  • Enterprise AI integration and workflow automation.

Work Arrangement

This is a remote contractual opportunity for candidates based in India.

Selected candidates must be willing to attend mandatory office visits for laptop collection and verification at one of the designated locations: Noida, Bengaluru, Chennai, Pune, or Hyderabad. The visit requirement is 2+2 days.

Background verification is mandatory as applicable to the engagement.

How to Apply

Please apply with your updated resume and include:

  • Total IT experience
  • Relevant AI/ML and Agentic AI experience
  • Current location
  • Notice period / availability
  • Expected monthly compensation
  • Brief details of a production-level Agentic AI project

Enqora Solutions

Pay: Up to ₹110,000.00 per month

Application Question(s):

  • How many years of total professional IT experience do you have? (Minimum 8 years required)
  • How many years of hands-on experience do you have developing production-level Agentic AI applications?
  • Have you designed and deployed production-level multi-agent AI systems using LangGraph, LangChain, CrewAI, or AutoGen?
  • Have you developed and deployed production-level Agentic AI applications using Python?
  • Is a contractual budget of up to ₹1,10,000 per month + GST, if applicable, acceptable to you?
  • What is your current notice period and earliest joining date?
  • Are you comfortable with mandatory 2+2 days of office visits in India and background verification?

Work Location: Remote

Skills

  • LangGraph
  • LangChain
  • crewai
  • Python
  • FastAPI
  • guardrails
  • Docker
  • Kubernetes
  • microsoft-azure
  • openai
  • agentai

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This listing is a publicly available opportunity curated by Try Club to help talent discover relevant roles. Try Club is an independent platform and is not affiliated with Enqora Solutions

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