Project Description

We’re seeking a skilled Agentic AI Developer to build intelligent AI systems that think, act, and interact with tools, APIs, and workflows. This is not a basic chatbot project — we need someone who can design scalable, production-ready AI agents and multi-agent systems.

Responsibilities:

Build and deploy AI agents and multi-agent systems
Develop LLM-powered applications using OpenAI, Claude, or similar models
Implement RAG pipelines with vector databases
Integrate AI systems with APIs, databases, and external tools
Design backend services in Python (FastAPI or Django preferred)
Optimize performance, cost, and reliability of AI workflows

Requirements:

Strong experience with Python in production environments
Hands-on experience with LLMs (OpenAI GPT, Claude, etc.)
Experience with LangChain or similar frameworks
Knowledge of RAG, embeddings, vector databases (Pinecone, pgvector, etc.)
Experience building AI automation workflows or agent-based systems
Ability to work independently and deliver clean, scalable code

Nice to Have:

Experience with multi-agent orchestration
Familiarity with Docker, AWS, or other cloud deployments
Experience integrating AI into SaaS, web, or mobile apps

Engagement:

Project-based or long-term
Flexible working hours
Looking for someone reliable who can grow with the project

To Apply:
Please include:

Relevant projects or portfolio showcasing AI/LLM/agent systems
A brief explanation of similar work you’ve done
Your approach to building agentic AI systems