AI Agent / Generative AI Engineer (Multi-Agent Systems)

Role Overview

We are looking for an AI Agent Developer to design and build a multi-agent AI system capable of generating videos, images, and processing data using specialized AI agents coordinated by a central orchestration agent.

The developer will architect and implement agent-based workflows where a manager agent coordinates multiple task-specific agents.

System We Want to Build

The system architecture will include:

Manager Agent

Controls and orchestrates other agents

Assigns tasks based on user requests

Video Generation Agent

Generates videos from prompts, scripts, or images

Image Generation Agent

Creates graphics, illustrations, thumbnails, and scenes

Data Processing Agent

Processes structured data

Generates insights, summaries, and visualizations

Key Responsibilities

1. Multi-Agent Architecture

Design and implement AI agent orchestration

Build manager agents that coordinate specialized agents

Implement agent communication and workflow pipelines

2. Generative AI Integration

Integrate image generation models (Stable Diffusion / SDXL / Flux)

Integrate video generation APIs (Runway, Pika, SVD, etc.)

Build pipelines for prompt → generation → post-processing

3. Backend Integration

Develop APIs to interact with agents

Integrate agents with databases and storage

Implement job queues for long-running AI tasks

4. Scalable Infrastructure

Deploy agents as microservices

Handle async workloads for image/video generation

Optimize GPU usage and inference costs

Required Skills

Programming

Python (mandatory for AI workflows)

Node.js or Go (backend services)

REST API development

AI / LLM Systems

Experience with at least one:

LangChain

LangGraph

CrewAI

AutoGPT

OpenAI Assistants API

Generative AI

Experience integrating:

Image Models

Stable Diffusion

SDXL

Flux

DALL-E

Video Models / APIs

Runway

Pika

Stable Video Diffusion

Luma AI

Data Processing

Python (Pandas / NumPy)

SQL / MongoDB

Data transformation pipelines

Infrastructure

Docker

AWS / GCP

Job queues (Redis, RabbitMQ, Kafka)

Preferred Skills

Experience building multi-agent AI systems

Knowledge of RAG architectures

Experience with vector databases

Examples:

Pinecone

Weaviate

Qdrant

Chroma

Experience with GPU inference pipelines

Experience building AI automation systems

Example Tasks the Developer Will Build

AI system that generates video content from prompts

Automated thumbnail generation agent

Data agent that converts raw data into charts and summaries

Manager agent that assigns tasks to specialized agents

Experience

3+ years backend development

1–2 years working with LLM / generative AI systems

Bonus Experience

Multi-agent systems

Autonomous AI workflows

Media generation pipelines

Streaming AI outputs

Pay: ₹40,000.00 - ₹100,000.00 per month

Benefits:

• Provident Fund

Work Location: In person