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 chance 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

📌 AI/ML Engineer – Agentic AI | 8 yrs experience (India)
🏢 Enqora Solutions
📍 India