Agentic AI Engineer

Deservely Technologies; Hyderabad; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Deservely Technologies in India seeks an experienced Agentic AI Engineer to design, develop, and deploy autonomous AI agents capable of reasoning, planning, tool usage, and workflow automation.

You should be proficient in Python, LLMs, LangChain, LangGraph, LlamaIndex, OpenAI APIs, MCP, RAG, and vector databases, with experience in FastAPI, Docker, Kubernetes, and cloud platforms.

Qualifications

• Experience designing and deploying autonomous AI agents.
• Hands-on with LangChain, LlamaIndex and OpenAI APIs.
• Experience with cloud platforms and container orchestration.

Responsibilities

• Design, develop, and deploy intelligent AI agents capable of autonomous reasoning, planning, tool usage, and workflow automation.
• Integrate AI agents with enterprise applications and monitor performance and security.
• Collaborate in Agile environments to deliver scalable AI-powered solutions.

Skills

Python

Multi-agent systems

AI orchestration

Tool calling

Agent evaluation

Memory management

Prompt engineering

REST APIs

Docker

Kubernetes

Tools

LangChain

LangGraph

LlamaIndex

OpenAI APIs

Model Context Protocol (MCP)

RAG

Pinecone

Chroma

Weaviate

FAISS

FastAPI

PostgreSQL

MongoDB

Redis

Kafka

RabbitMQ

AWS

Azure

GCP

Git

CI/CD

Job description

Experience

4–8 Years

Location

Indore/Bengaluru/Hyderabad /Pune.

Employment Type

Full-Time / Contract / Contract-to-Hire

Job Description

We are seeking an experienced Agentic AI Engineer to design, develop, and deploy intelligent AI agents capable of autonomous reasoning, planning, tool usage, and workflow automation. The ideal candidate should have strong expertise in Python, Large Language Models (LLMs), and modern AI frameworks to build scalable, production‑ready AI applications.

The candidate should have hands‑on experience with LangChain, LangGraph, LlamaIndex, OpenAI APIs, Model Context Protocol (MCP), Retrieval‑Augmented Generation (RAG), vector databases such as Pinecone, Chroma, Weaviate, or FAISS, and prompt engineering. Strong knowledge of multi‑agent systems, AI orchestration, memory management, tool calling, and agent evaluation is essential.

Experience with FastAPI, REST APIs, Docker, Kubernetes, Git, CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP) is required. Familiarity with databases such as PostgreSQL, MongoDB, or Redis, along with messaging technologies like Kafka or RabbitMQ, will be an added advantage.

The ideal candidate should have excellent problem‑solving skills, experience integrating AI agents with enterprise applications, optimizing performance and security, monitoring AI systems, and collaborating with cross‑functional teams in Agile environments to deliver reliable, scalable, and innovative AI‑powered solutions.

Skills: databases,agents,ci,cd,aws