Agentic Ai Consultant Highbury Consulting Services Pune Gurugram Bengaluru

Vibehackers; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Vibehackers seeks an architect to build production-grade multi-agent AI systems and agent orchestration, leveraging patterns like ReAct and protocols such as MCP/A2A. Strong Python expertise with async programming is essential, along with production experience using LangGraph, CrewAI, or AutoGen.

You will design backend services and APIs in Python emphasizing async patterns, type hints, FastAPI, and Pydantic, contributing to scalable AI tooling and orchestration infrastructure at Vibehackers in

Qualifications

• Strong production experience with LangGraph and/or CrewAI, AutoGen.
• Experience designing and shipping production multi-agent systems.
• Proficiency in asynchronous Python, FastAPI, and Pydantic.

Responsibilities

• Design and build production-ready multi-agent systems using patterns such as ReAct.
• Implement agent orchestration and coordination using LangGraph, CrewAI, or AutoGen.
• Integrate and work with agent communication protocols MCP and A2A.
• Develop backend services and APIs in Python with emphasis on async patterns, typing, FastAPI, and Pydantic.

Skills

Python

Async programming

Type hints

FastAPI

Pydantic

API development

Backend engineering

System architecture

Multi-agent systems

Production deployment

Tools

LangGraph

CrewAI

AutoGen

Job description

Building multi-agent AI systems and agent orchestration; uses LangGraph/CrewAI/AutoGen and agent protocols—clearly in the AI dev tooling/vibe-coding space.

About the Role

Architect and implement production-grade multi-agent AI systems using patterns like ReAct and protocols such as MCP/A2A, leveraging agent orchestration tools. The role requires strong Python expertise (async, typing) and production experience with LangGraph, CrewAI, or AutoGen.

Job Description

Role

Architect and implement production multi-agent AI systems, focusing on agent orchestration patterns and protocols.

Key Responsibilities

• Design and build production-ready multi-agent systems using patterns such as ReAct.
• Implement agent orchestration and coordination using tools like LangGraph, CrewAI, or AutoGen.
• Integrate and work with agent communication protocols such as MCP and A2A.
• Develop backend services and APIs in Python with emphasis on async patterns, type hints, FastAPI, and Pydantic.

Requirements

• Strong production experience with LangGraph and/or CrewAI, AutoGen.
• Experience with MCP and/or A2A protocols for agent communication.
• Strong Python skills, including asynchronous programming, typing, FastAPI, and Pydantic.
• Demonstrated ability to architect and ship production multi-agent systems.

Skills

System Architecture Multi-agent Systems Production Deployment Agent Orchestration Protocol Design (MCP/A2A) Asynchronous Programming Type Hinting / Static Typing API Development Backend Engineering Technical Design