For this position we have 2 locations Austin, TX/ Sunnyvale , CA
Job Description
Minimum Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field, or equivalent experience.
- Applied data science background (degree coursework, immersive bootcamp, or equivalent applied experience).
- Proven ability to design and deliver applications, with experience making practical systems design tradeoffs.
- Hands-on programming experience (Python required, plus one or more of Swift, Ruby, or JavaScript).
- Experience building and integrating applications with LLMs.
- Experience with vector databases, graph databases, or other structured retrieval approaches.
- Ability to explain and apply AI engineering practices (retrieval, context management, evaluation methods, MLOps patterns) to other engineers.
- Strong communication skills to translate technical findings into clear guidance.
Preferred Qualifications
- Ability to rapidly learn and apply new model capabilities and emerging AI research.
- Ability to design and execute experiments with clear hypotheses, baselines, and success criteria.
- Experience designing and running LLM evaluation pipelines that combine quantitative and qualitative methods, balance precision–recall tradeoffs, and align metrics with user workflows.
- Familiarity with Hugging Face ecosystem (Transformers, Datasets, evaluation libraries).
- Experience with PyTorch for fine-tuning, evaluation, and lightweight model training.
- Experience implementing a variety of model integration approaches such as LangChain and MCP.
