
Data-Driven AI Innovator
1 day ago
About Us
We're on a mission to harness the power of artificial intelligence to drive innovation and speed.
As an AI Engineer, you'll play a key role in building and launching multiple AI applications from the ground up.
Our goal is simple: build minimum viable products (MVPs), test them in the market, and if we find product-market fit, scale to production-grade systems.
As a key member of our team, you'll be responsible for building end-to-end AI applications, from idea to working MVP. This includes experimenting with different approaches, frameworks, and models, shipping fast, and gathering feedback from real users.
We're looking for engineers who are curious to try new ideas, break things, and learn fast. You should be comfortable with ambiguity, high-speed execution, and changing directions when data says so.
You'll work directly with our founder on product direction and technical strategy. We value independence and ownership, so you'll have the freedom to own projects from start to finish.
Our ideal candidate has strong coding skills and hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, and OpenAI APIs. They should also have experience building and deploying applications, not just models.
If you have prior work on AI-driven products, side projects, or startups, knowledge of full stack development for rapid prototyping, and understanding of GTM strategies, that's a plus.
Join us to work directly with a founder driven to build AI-first companies. Enjoy the freedom to try bold ideas and see them in the market. Have a rare chance to move from MVP experiments to scaling a real product.
Key Responsibilities:
- Build end-to-end AI applications from idea to working MVP.
- Experiment with different approaches, frameworks, and models.
- Ship fast and gather feedback from real users.
- Work directly with our founder on product direction and technical strategy.
- Own projects from start to finish.
Requirements:
- Strong coding skills.
- Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, and OpenAI APIs.
- Experience building and deploying applications, not just models.
What We Offer:
- Freedom to try bold ideas and see them in the market.
- Chance to move from MVP experiments to scaling a real product.
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