AI Engineer

Recruiting From Scratch; Sunnyvale (CA); Hybrid; USD 225,000 - 300,000; Full time

Benefits offered by this job

Visa sponsorship

Hybrid work (Sunnyvale, 3 days/week)

Competitive equity

Job summary

Recruiting From Scratch is seeking an AI Engineer in Sunnyvale, CA. This hybrid role requires 3 days per week on-site, with visa sponsorship available and a base compensation range of $225,000 to $300,000 plus competitive equity.

Join a growth-stage company building software-defined vehicles with cloud-native AI, over-the-air updates, and edge AI. You will work with the CTO's office to prototype, develop, and productionize next-gen AI capabilities across LLMs, RAG, and agentic workflows.

Qualifications

• 8--15 years of AI, ML, or software engineering experience.
• Experience building production AI applications at AI-first or ML-driven companies.
• Experience developing RAG systems and LLM-powered apps.

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 ML models.
• Evaluate emerging LLMs and architectures for production use.
• Build AI apps using Python, TensorFlow, PyTorch, and modern AI frameworks.
• Collaborate with Engineering, Product, and leadership to define future AI capabilities.
• Optimize model inference and production AI performance.
• Research emerging AI technologies and prototype innovative solutions.

Skills

Python

ML engineering

System design

Leadership

Education

Bachelor's degree in CS/Math/Physics

Master's or PhD preferred

Tools

TensorFlow

PyTorch

ONNX

Edge inference

Job description

AI Engineer

Location - Sunnyvale, CA - (Hybrid -- 3 Days Per Week)

Compensation - $225,000 -- $300,000 Base + Competitive Equity

Visa - Visa Sponsorship Available

Company Stage - Growth Stage ($110M+ Raised)

Industry - Artificial Intelligence, Machine Learning, Autonomous Systems, Automotive Software, Software-Defined Vehicles, Edge AI, Enterprise Software

About the Company

The company is building the software platform powering the next generation of software-defined vehicles by bringing cloud-native software, artificial intelligence, and over-the-air infrastructure into the automotive industry.

Its platform enables global automotive manufacturers to collect vehicle data, deploy intelligent software updates, optimize vehicle operations, and build AI-powered applications that continuously improve vehicle performance. With millions of connected vehicles already running its software, the company is helping redefine how modern vehicles are developed, maintained, and enhanced through AI.

Backed by more than $110M in funding and trusted by one of the world's largest automotive manufacturers, the company has grown into one of the leaders in software-defined vehicle infrastructure while continuing to expand its AI product portfolio through cutting-edge LLM applications, agentic AI systems, and intelligent edge computing.

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.

What You'll Do

• 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

Ideal Candidate Background

Experience 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


• Experience operating as a Staff or Senior Staff Engineer preferred


• Experience working at startups or high-growth technology companies preferred


• Strong ownership mentality with demonstrated technical leadership


• Experience collaborating across AI research, engineering, and product organizations


• Experience building customer-facing AI applications with measurable business impact

Technical Requirements

• 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


• Familiarity with ONNX, TensorFlow Lite, hardware optimization, or edge inference preferred


• Experience in computer vision, time-series modeling, or applied machine learning preferred

Education

• 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

Soft Skills

• 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

Compensation & Benefits

• Base Salary: $225,000 -- $300,000


• Competitive Equity Package


• Visa Sponsorship Available


• Hybrid work model (3 days/week in Sunnyvale)


• Opportunity to build cutting-edge AI systems for next-generation vehicles


• Direct collaboration with the CTO and executive leadership


• Significant ownership across AI strategy and product innovation


• High-impact engineering culture with exceptional career growth


• Fast-growing company with millions of deployed connected vehicles


• Opportunity to define the future of AI in the automotive industry

Why Join

This is an opportunity to build some of the most advanced AI systems powering the future of software-defined vehicles.

You'll work at the intersection of large language models, agentic AI, machine learning, edge inference, and distributed software systems while developing AI products that directly shape the future of intelligent transportation.

As an AI Engineer, you'll own high-impact AI initiatives, collaborate directly with executive leadership, and help define the next generation of AI-powered automotive software.