AI Fund
AI Fund is a venture studio focused on launching AI-based companies that aim to drive progress across various sectors. By partnering with talented founders and tech pioneers, AI Fund supports the development of innovative applications of artificial intelligence, spanning industries such as manufacturing, mental health, education, and more. The organization acts as a minor co-founder, helping to cultivate startups that leverage the transformative potential of AI to improve the world.
deep learning • machine learning • artificial intelligence • startup • entrepreneurship
Backend Engineer
August 29, 2024
AI Fund
AI Fund is a venture studio focused on launching AI-based companies that aim to drive progress across various sectors. By partnering with talented founders and tech pioneers, AI Fund supports the development of innovative applications of artificial intelligence, spanning industries such as manufacturing, mental health, education, and more. The organization acts as a minor co-founder, helping to cultivate startups that leverage the transformative potential of AI to improve the world.
deep learning • machine learning • artificial intelligence • startup • entrepreneurship
📋 Description
•Lead the development and improvement of a multimodal Python pipeline that involves audio, video, and text generation in a low-latency, streaming regime. •Partner with technical (ML/AI) and product stakeholders to design an effective platform. •Design, optimization, and management of SQL databases (such as PostgreSQL) and vector datastores (such as Pinecone). •Design and implement necessary pipeline components to enable new use cases.
🎯 Requirements
•Minimum of 5 years of work experience in backend engineering. •Expertise in Python demonstrated by implementing multiple production-grade projects in frameworks such as Django, Flask, or FastAPI. •Experience with designing, deploying or implementing a machine learning pipeline that was used by a large number of users. •Experience with cloud computing (GCP or AWS), Postgres, and data engineering. •Formal training in Computer Science or an Engineering discipline (Bachelor’s or Master’s).
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