The Rundown AI, Inc.
GenAI Professional Services Engineer
The Rundown AI, Inc., San Francisco, California, United States, 94199
As an AI Professional Services Engineer you’ll research and utilize established and state-of-the-art Gen AI and ML techniques to successfully deliver solutions to our customers. You'll engage new Gen AI and ML use cases through hands-on customer problems and help generalize learnings into the core Snorkel Flow platform. We move fast and are constantly prototyping new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, working directly with customers, and bridging the gap between AI technology and business value.
Main Responsibilities
Design and implement customer AI projects from end to end, with a focus on Generative AI solutions. This includes defining the business case, scoping the project, applying techniques such as retrieval-augmented generation (RAG), fine-tuning, and prompt tuning, and optimizing model performance for real-world deployment to maximize business impact. Present findings and recommendations to customer stakeholders, assist with program ideation and technical program management, and brief materials. Design, develop, and deploy enterprise AI/ML solutions across various industries like finance, healthcare, insurance, retail and more. Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams. Preferred Qualifications
5+ years of professional experience with machine learning, or 2+ years of professional experience with machine learning with an advanced degree in a relevant field. 1+ year of professional experience working directly with external customers to scope out build machine learning models, tools, or services. Strong experience working with Generative AI models (LLMs, transformers, embeddings, etc.). Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain, XGBoost, ScikitLearn). Experience building and maintaining large scale, production data pipelines for machine learning applications. Ability to work in a fast-paced environment and strong technical communication skills.
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Design and implement customer AI projects from end to end, with a focus on Generative AI solutions. This includes defining the business case, scoping the project, applying techniques such as retrieval-augmented generation (RAG), fine-tuning, and prompt tuning, and optimizing model performance for real-world deployment to maximize business impact. Present findings and recommendations to customer stakeholders, assist with program ideation and technical program management, and brief materials. Design, develop, and deploy enterprise AI/ML solutions across various industries like finance, healthcare, insurance, retail and more. Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams. Preferred Qualifications
5+ years of professional experience with machine learning, or 2+ years of professional experience with machine learning with an advanced degree in a relevant field. 1+ year of professional experience working directly with external customers to scope out build machine learning models, tools, or services. Strong experience working with Generative AI models (LLMs, transformers, embeddings, etc.). Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain, XGBoost, ScikitLearn). Experience building and maintaining large scale, production data pipelines for machine learning applications. Ability to work in a fast-paced environment and strong technical communication skills.
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