AI Engineer

Recruiting From Scratch•San Francisco, CA

13d•Hybrid

About The Position

As an AI Engineer, you'll join the Office of the CTO to prototype, develop, and productionize next-generation AI capabilities across LLMs, RAG systems, agentic workflows, and machine learning platforms while partnering directly with executive leadership to define the company's future AI roadmap. This is an exceptional opportunity to join an AI-native innovation team where engineers own AI products from concept through production, influence company-wide technical strategy, and build cutting-edge AI systems powering the future of connected vehicles.

Requirements

8–15 years of AI, Machine Learning, or Software Engineering experience
Experience building production AI applications at AI-first or ML-driven companies
Experience developing RAG systems, agentic AI frameworks, and LLM-powered applications
Experience leading AI initiatives from concept through production deployment
Experience building proof-of-concept systems and productionizing new AI capabilities
Strong Python software engineering experience
Deep experience with TensorFlow and/or PyTorch
Experience building production LLM applications
Strong understanding of Retrieval-Augmented Generation (RAG) architectures
Experience with agentic AI frameworks and AI orchestration systems
Strong machine learning fundamentals including model selection, evaluation, fine-tuning, and deployment
Experience optimizing inference performance and model serving
Experience working with data engineering and ML pipelines
Strong systems thinking
High ownership mentality
Excellent technical communication
Comfortable operating with ambiguity
Strong collaboration skills
Startup mentality with high execution velocity
Structured problem solver
Engineering leadership mindset
Passion for cutting-edge AI technologies
Excited to help shape the future of software-defined vehicles

Nice To Haves

Experience operating as a Staff or Senior Staff Engineer preferred
Experience working at startups or high-growth technology companies preferred
Familiarity with ONNX, TensorFlow Lite, hardware optimization, or edge inference preferred
Experience in computer vision, time-series modeling, or applied machine learning preferred
Bachelor's, Master's, or PhD in Computer Science, Mathematics, Physics, or another quantitative STEM discipline preferred
Strong academic background from a Top-30 university preferred
Exceptional candidates with outstanding AI engineering accomplishments considered

Responsibilities

Lead development of AI-powered software solutions solving complex real-world business problems
Design and build production-ready applications using LLMs, RAG architectures, and agentic AI frameworks
Develop proof-of-concept AI products and evolve them into production-ready systems
Design, train, fine-tune, validate, deploy, and maintain machine learning models
Evaluate emerging large language models and identify optimal architectures for production use
Build AI applications using Python, TensorFlow, PyTorch, and modern AI frameworks
Perform data analysis, feature engineering, and model evaluation across multiple AI domains
Collaborate closely with Engineering, Product, and executive leadership to define future AI capabilities
Optimize model inference, hardware utilization, and production AI performance
Research emerging AI technologies and rapidly prototype innovative solutions
Document AI architecture, technical design, and implementation decisions
Continuously improve AI systems supporting next-generation software-defined vehicles