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As a Machine Learning Architect at airSlate Inc., you'll play a critical role in designing and implementing AI-driven applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent frameworks.
We're committed to empowering teams to digitally transform their organizations using our no-code workflow automation, electronic signature, and document management solutions. Our award-winning products serve over 100 million users, and we're constantly innovating to stay ahead of the curve.
This role offers the opportunity to engage in both foundational AI research and its practical deployment, ensuring innovative and impactful solutions in the marketing and automotive sectors.
You'll design and implement scalable RESTful APIs, work with asynchronous programming, and refine prompt engineering and performance strategies. You'll also collaborate with our core machine learning research group, working on advanced enterprise applications of LLMs.
What you'll need:
- Strong proficiency in Python and experience with modern frameworks (FastAPI, Flask, Django);
- Experience with tools and best practices in the Python ecosystem (Poetry, virtual environments, dependency management);
- Experience with LLM-based solutions, including prompt engineering, retrieval strategies, and evaluation;
- Solid understanding of data design and database management (SQL, NoSQL, VectorDB);
- Experience designing scalable RESTful APIs and working with asynchronous programming (asyncio, FastAPI, Celery).
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