AI Engineer – Forward Deployed Engineering

atDatabricksRemoteUS flagCaliforniaFull-timeAI EngineerMid-levelSenior$182k – $250.2k/year

Posted 3 days ago

This is a fully remote position, open to applicants in California.

πŸ“‹ Description

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


⛳️ Requirements

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 4–8 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


🏝️ Benefits

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 4–8 weeks as required

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