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super.AI invites engineers to join a high-growth team building AI/Machine-Learning platforms. You will measure output quality of AI workloads for global customers, deploy and manage production workloads, and write Python code deployed in containers.
You’ll conduct local testing with Jupyter, integrate cloud AI solutions, and perform prompt engineering for diverse use cases. You will also fine-tune and deploy LLMs, and develop software that scales to meet high-load demands, collaborating across
Imagine yourself building the next breakthrough AI/Machine-Learning technology, enabling "AI for everyone" at the start of the company's explosive growth.
Super.AI is used by global enterprises across all industries, from banks, logistics, and insurance companies to Testing, Inspection, and certification (TIC) or retail companies. Super.AI has created the world’s most advanced AI automation platform to extract data from any document with guaranteed quality.
We enable companies to leverage the latest AI models, including. LLMs, and super.AI Data Processing Crowd for human-in-the-loop (HITL) review to automate business processes end-to-end with guaranteed results.
What you’ll do:
What we are looking for:
Your Experience:
If this resonates with you, it would be amazing to get to know each other.
At super.AI our mission is to make AI accessible to all and use AI to enrich the human experience and make the world a better place. We are a group of smart, creative people who have come together from MIT, Microsoft Research, AWS, Google, and Apple to work toward that mission. As a first step towards that goal, we have built an AI platform to help businesses make sense of unstructured data. Our culture is collaborative and fun that puts customers first.