
AI Engineer β Forward Deployed Engineering
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in California.
β’ Create innovative GenAI solutions utilizing the latest Databricks AI research methodologies to address customer challenges
β’ Manage the deployment of both consumer-facing and internal GenAI applications
β’ Act as a reliable technical consultant to clients across diverse sectors
β’ Deliver presentations at events such as the Data + AI Summit and function as a thought leader both internally and externally
β’ Work closely with product and engineering teams to influence project priorities and help shape the product roadmap
β’ Provide professional services to assist customers in developing and launching pioneering AI applications
β’ Aid internal subject matter expert teams and contribute to long-term strategic goals and initiatives
β’ Experienced engineer; this position is not suitable for internships, recent graduates, or entry-level candidates
β’ Proven experience in developing GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning
β’ Familiarity with HuggingFace, LangChain, and DSPy
β’ Proficient in deploying production-level GenAI applications, including assessment and optimization
β’ Significant hands-on experience in industry data science
β’ Knowledge of pandas, scikit-learn, and PyTorch
β’ Experience in building production-ready machine learning deployments on AWS, Azure, or GCP
β’ A graduate degree in a quantitative field such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience
β’ Ability to communicate and/or teach technical concepts to both technical and non-technical audiences
β’ Preferred: experience working with the Databricks Intelligence Platform and Apache Spark for processing large-scale distributed datasets
β’ Willingness to travel every 4β8 weeks to meet with customers as necessary
β’ If access to export-controlled technology or source code is necessary, employment may depend on a U.S. government licensing decision
β’ Eligibility for annual performance bonuses
β’ Equity eligibility
β’ Comprehensive benefits and perks, with specifics varying by region
β’ Option for remote work
β’ Travel to meet customers every 4β8 weeks as required
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