We are not just adding AI features; we are rebuilding the way software works. We are looking for a developer who treats Claude Code and LLMs like a superpower, not just a library. If you are the type of person who pushes agentic workflows to their absolute limit, you are exactly who we want.

The Mission :

As our AI Engineer, you will not just be writing code; you will be teaching machines how to write, optimize, and deploy it. You will :

- Forge Intelligent Systems : Build and ship AI-powered applications that do not just respond, but reason and act.

- Master the Claude Code Stack : Lead the charge in using the latest agentic tools to 10x our development velocity.

- Build the Future of SaaS : Integrate deep AI capabilities into our core platform, moving beyond simple chatbots to true Action-Oriented AI.

- Optimize the Brain : Fine-tune prompts and workflows to turn raw LLM outputs into reliable, production-grade logic.

Logistics and Location :

- 100% Remote : This position is fully remote. You can work from anywhere.

- US Business Hours : You must be available and online during standard US business hours to collaborate with the core team.

- English Fluency : You must be fully fluent in English with the ability to read, write, and speak at a professional level.

Your Toolkit :

You are a perfect fit if :

- You speak Python, TypeScript, or JavaScript fluently.

- You have moved past basic implementations with Claude and OpenAI APIs and are building complex, multi-step agentic chains.

- You understand that Prompt Engineering is actually a form of high-level systems architecture.

- You are comfortable in the cloud (AWS, GCP, or Azure) and know your way around Docker containers.

- You live in Git and love a modern, automated CI/CD workflow.

Bonus Points For :

- Building an AI-enabled SaaS from the ground up.

- A portfolio of AI side projects or automation scripts.

- Deep knowledge of AI security.

Why Join Us?

We do not care about years of experience in a field that is only 24 months old. We care about your velocity, your curiosity, and your code. You will have the autonomy to experiment with the latest models the day they drop and the resources to see your ideas hit production at scale.

Qualifications : A degree in CS or IT is helpful, but proven builds and a strong GitHub are even better.