We're building intelligent agents powered by LLMs (like GPT), automation tools (n8n, Loveable, LangChain, Supabase), and external APIs. If you're passionate about AI workflows, prompt engineering, autonomous agents, and real-world use cases -this role is for you.

Responsibilities :

- Build and deploy AI agents that use LLMs for autonomous decision-making.

- Integrate APIs, databases, and business logic into agent workflows.

- Develop RAG (Retrieval Augmented Generation) pipelines using vector databases (e.g., Pinecone, Supabase, Weaviate).

- Fine-tune and optimize prompts for specific tasks or domains.

- Collaborate with product and engineering to create real-world automation solutions.

- Deployment on Production

Required Skills :

- Hands-on experience with GPT APIs, OpenAI, Gemini, or similar LLMs.

- Familiarity with n8n / LangChain / AutoGen or similar agent frameworks.

- Strong understanding of JSON, APIs, webhooks, and async data flows.

- Experience in Python or JavaScript (Node.js).

Bonus Points :

- Knowledge of Supabase, Pinecone, Redis Vector.

- Experience deploying agents via web or mobile interfaces.