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Applied Ai Engineer Jobs in California (NOW HIRING)

Applied AI Engineer

San Francisco, CA · On-site

$130 - $170/hr

Applied AI Engineer ENGINEERING | San Francisco, New York City | On-site | Full-time The Role As an Applied AI Engineer, you'll bring the frontier of AI research and engineering to Rowspace ...

Applied AI Engineer

San Francisco, CA · On-site

$80K - $120K/yr

The Applied AI Engineer is how a signed contract becomes a renewed and expanded one. What you'll own * Land the deployment. Embed with a newly-closed enterprise customer, rapidly learn their ...

Applied AI Engineer

San Francisco, CA · On-site

$100K - $200K/yr

Applied AI Engineer Soulside AI • US On-Site • Reports to the CTO About Soulside Soulside AI is the specialist AI platform for behavioral health documentation and compliance. We generate audit ...

Posted today

Applied AI Engineer

San Francisco, CA · On-site

$165K - $220K/yr

If you are excited to grow as an Applied AI engineer while helping transform how care is delivered in the home, we'd love to hear from you! This is a full-time hybrid opportunity based in San ...

The Applied AI Engineer will design and implement AI workflows and applications that enhance various business functions, contributing to both internal operations and customer solutions.

The Applied AI Engineer will build and fine-tune AI systems designed to automate complex GRC processes with an emphasis on accuracy, explainability, and responsible design. Responsibilities : • ...

Applied AI Engineer

San Francisco, CA · On-site

$164K/yr

The Applied AI Engineer will implement cutting-edge AI research to build systems that understand financial contexts and enhance workflows in finance. Responsibilities : • Implement and adapt ...

They are seeking an Applied AI Engineer to enhance their core agent loop and AI workflows, ensuring reliability and speed as their system scales. Responsibilities : • Build intelligent agents that ...

Applied AI Engineer

San Francisco, CA · On-site

$180 - $240/hr

As an Applied AI Engineer, you'll take ownership of complex AI products from early experimentation through production. You'll help define technical direction, establish how we evaluate and improve ...

New

Applied AI Engineer

Cupertino, CA · On-site

$184.70 - $277.60/hr

We're looking for a hands‑on Applied AI Engineer with strong software development skills and a passion for applying LLMs and Agentic workflows to real‑world business problems. You will strengthen ...

We're looking for a hands-on Applied AI Engineer with strong software development skills and a passion for applying LLMs and Agentic workflows to real-world business problems. You will strengthen our ...

They are seeking an Applied AI Engineer to accelerate engineering workflows by leveraging modern AI techniques to identify bottlenecks and build tools that enhance efficiency. Responsibilities : • ...

They are seeking Applied AI Engineers to deliver high-impact technical solutions by working closely with customers to translate challenges into production-ready systems that utilize Generative AI ...

We're looking for a hands-on Applied AI Engineer with strong software development skills and a passion for applying LLMs and Agentic workflows to real-world business problems. You will strengthen our ...

Applied AI Engineer

Palo Alto, CA · On-site

$180 - $250/hr

Role Overview As an Applied AI Engineer, you will lead the charge in creating AI systems designed to outperform the world's leading experts in Governance, Risk, and Compliance (GRC). We are seeking ...

Role Overview We're looking for Applied AI Engineers to work as forward deployed directly with customers and lead the end-to-end delivery of high-impact technical solutions. You'll embed deeply with ...

Senior Applied AI Engineer

Burbank, CA · On-site

$139 - $180/hr

Job Title Senior Applied AI Engineer Team Global Quality Engineering Overview Paramount Skydance Corp. is seeking a Senior Applied AI Engineer to architect, build, and operationalize AI-driven ...

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Showing results 1-20

Applied Ai Engineer information

What are the key skills and qualifications needed to thrive as an applied AI engineer?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What job categories do people searching Applied Ai Engineer jobs in California look for?

The top searched job categories for Applied Ai Engineer jobs in California are:

What cities in California are hiring for Applied Ai Engineer jobs?

Cities in California with the most Applied Ai Engineer job openings:

Infographic showing various Applied Ai Engineer job openings in California as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Applied AI Engineer

F2 AI

San Francisco, CA • On-site

$130 - $170/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

Applied AI Engineer

ENGINEERING | San Francisco, New York City | On-site | Full-time

The Role

As an Applied AI Engineer, you'll bring the frontier of AI research and engineering to Rowspace, transforming how our platform understands and surfaces critical financial insights. In a typical week, you might build and productionize an agent in response to customer feedback, design evaluation frameworks for AI performance, and implement advanced retrieval systems to make the most of AI for finance workflows.

What You'll Do
  • Implement and adapt cutting-edge AI research to build systems that understand financial context and business concepts
  • Design retrieval pipelines that extract and synthesize insights from unstructured sources (PDFs, emails, presentations) with intelligent conflict resolution
  • Build agentic workflows that enable AI systems to reason about financial relationships, perform benchmarking, and conduct comparative analysis
  • Construct and maintain knowledge graphs that capture complex financial relationships, entity connections, and market dynamics
  • Create evaluation frameworks to measure and improve AI performance across investment research, due diligence, and portfolio monitoring tasks
  • Design and implement systems that maintain traceability from AI outputs to primary sources
  • Experiment with the latest LLM orchestration patterns and context management techniques for financial use cases
  • Shape technical direction and best practices for AI application development at Rowspace
  • Iterate rapidly with direct customer input, continuously refining AI systems based on real-world usage and feedback
  • Deploy and operate production systems end-to-end, with strong ownership over reliability, performance, and maintainability across the stack
What You Have
  • 3+ years of experience in machine learning, AI research, or applied AI engineering
  • Strong background in LLMs, RAG systems, and agentic AI workflows
  • Experience designing evaluation frameworks and benchmarks for AI systems
  • Interest or understanding of financial markets, investment processes, or quantitative finance (or strong interest in learning)
  • Experience with retrieval systems, embeddings, and multi-modal data processing
  • Publication record or demonstrated expertise in relevant AI research areas is a plus
  • Entrepreneurial mindset with ability to translate cutting‑edge research into practical business value
  • Experience as a full‑stack engineer is a plus (React/Typescript + Python/Node or similar)
Perks & Benefits
  • Health & Wellness: Comprehensive medical, dental, and vision insurance
  • Future Planning: 401(k) plan including employer match on contributions made while employed by Rowspace
  • Time Off: Unlimited PTO policy—we trust you to take the time you need to recharge
  • Food & Fuel: Monthly commuter stipend, plus free daily lunch and a fully stocked snack bar in the office
  • Team Culture: Regular team offsites to bond and strategize away from the desk
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