Agentic AI Engineer

Deservely Technologies; Bengaluru; On-site; INR 2,500,000 - 5,500,000; Full time

Job summary

Deservely Technologies in Bengaluru seeks an Agentic AI Engineer to design, develop, and deploy autonomous AI agents capable of reasoning, planning, and tool usage. The ideal candidate should have strong expertise in Python, 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, MCP, RAG, vector databases such as Pinecone, Chroma, Weaviate, or FAISS, and prompt

Qualifications

• Experience designing autonomous AI agents with reasoning and tool usage.
• Hands-on with LangChain, LlamaIndex, and OpenAI APIs.
• Proficiency in containerized environments and cloud platforms.
• Strong understanding of AI deployment, security, and monitoring.

Responsibilities

• Design, develop, and deploy autonomous AI agents for production.
• Optimize performance, memory management, and security of AI systems.
• Integrate agents with enterprise applications in Agile teams.
• Monitor, evaluate, and iterate on agent behaviors and workflows.

Skills

Python

LLMs

Multi-agent systems

AI orchestration

Prompt engineering

Agile

Tools

LangChain

LangGraph

LlamaIndex

OpenAI APIs

MCP

RAG

Pinecone

Chroma

Weaviate

FAISS

FastAPI

REST APIs

Docker

Kubernetes

Git

CI/CD

AWS

Azure

GCP

PostgreSQL

MongoDB

Redis

Kafka

RabbitMQ

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