Agentic AI Engineer

Deservely Technologies; Maharashtra; On-site; INR 480,000 - 720,000; Full time

Job summary

Deservely Technologies seeks an experienced Agentic AI Engineer to design, develop, and deploy autonomous AI agents capable of reasoning, planning, tool usage, and workflow automation. Proficiency in Python, LLMs, LangChain, and modern AI frameworks is essential.

Candidates should have hands-on experience with LangChain, LangGraph, LlamaIndex, OpenAI APIs, MCP, RAG, vector databases (Pinecone, Chroma, Weaviate, FAISS), and prompt engineering, plus FastAPI, Docker, Kubernetes, Git, and cloud

Qualifications

• 4–8 years of experience in AI/ML or software engineering.

Responsibilities

• Design and deploy autonomous AI agents with planning and tool use.
• Integrate AI agents with enterprise apps and ensure security.
• Develop APIs with FastAPI and maintain CI/CD pipelines.
• Monitor AI systems and optimize performance.

Skills

Python

LLMs

LangChain

Docker

Kubernetes

REST APIs

CI/CD

AWS

Azure

GCP

PostgreSQL

MongoDB

Redis

Kafka

RabbitMQ

Tools

FastAPI

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