Engineering mindset, focused on delivering production solutions with Gen AI, data processing pipelines, and advanced analytics tools.
Solving real business problems, not academic benchmarks.
Ability to collaborate efficiently in teams of technical and non-technical individuals.
Comfort working in a dynamic environment with evolving objectives and direct iteration with users.
What We Require
Past experience building solutions with LLMs and a deep understanding of overall Gen AI landscape.
Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition).
Strong engineering background. Preferred fields include but are not limited to Computer Science, Mathematics, Software Engineering, Physics, and Machine Learning.
Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar.
Ability and interest in traveling up to 25%, as needed to client sites, but flexible based on personal preferences.