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Applied Ai Engineer Jobs in Santa Rosa, CA (NOW HIRING)

Staff AI Engineer

Sonoma, CA ยท On-site

$270K - $300K/yr

Staff AI Engineer Compensation: $270k to $300k base + equity Location ... San Francisco, CA Join a fast-growing B2B SaaS company using applied AI to modernize complex ...

New

Staff AI Engineer

Santa Rosa, CA ยท On-site

$270K - $300K/yr

Staff AI Engineer Compensation: $270k to $300k base + equity Location ... San Francisco, CA Join a fast-growing B2B SaaS company using applied AI to modernize complex ...

New

Principal AI Engineer

Sonoma, CA ยท On-site

$275K - $300K/yr

Principal AI Engineer (AI Platform, Evals & Production Systems) $275k-$300k base plus equity San ... applied AI at scale. The Opportunity This is a principal-level opportunity to help define how ...

New

Principal AI Engineer

Santa Rosa, CA ยท On-site

$275K - $300K/yr

Principal AI Engineer (AI Platform, Evals & Production Systems) $275k-$300k base plus equity San ... applied AI at scale. The Opportunity This is a principal-level opportunity to help define how ...

New

Hiring and managing engineers is possible over time, not on day one. You report to the VP of Applied AI, who built the firm's virtual investment committee himself and published on the agentic harness ...

Hiring and managing engineers is possible over time, not on day one. You report to the VP of Applied AI, who built the firm's virtual investment committee himself and published on the agentic harness ...

This is not a traditional AI delivery or engineering leadership role. We're looking for a ... applied AI delivery background . You may currently be working within a leading research lab ...

This is not a traditional AI delivery or engineering leadership role. We're looking for a ... applied AI delivery background . You may currently be working within a leading research lab ...

Research Engineer

Sonoma, CA ยท On-site

$300K/yr

Founding Research Engineer - AI & Defence ๐Ÿ“ San Francisco | Onsite I'm working with a highly ... and applied machine learning. You'll work with petabyte-scale, multimodal time-series data ...

Research Engineer

Santa Rosa, CA ยท On-site

$300K/yr

Founding Research Engineer - AI & Defence ๐Ÿ“ San Francisco | Onsite I'm working with a highly ... and applied machine learning. You'll work with petabyte-scale, multimodal time-series data ...

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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 Santa Rosa, CA look for?

The top searched job categories for Applied Ai Engineer jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for Applied Ai Engineer jobs?

Cities near Santa Rosa, CA with the most Applied Ai Engineer job openings:

Infographic showing various Applied Ai Engineer job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 71% Full Time, 26% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Staff AI Engineer

Sonoma, CA โ€ข On-site

$270K - $300K/yr

Other

Posted 2 days ago

New


Job description

Staff AI Engineer

Compensation: $270k to $300k base + equity

Location: San Francisco, CA


Join a fast-growing B2B SaaS company using applied AI to modernize complex, knowledge-intensive professional workflows.

AI is a core company priority, with significant investment in platform infrastructure, evals, ingestion, observability, and production LLM systems.


The Role

People In AI is hiring a Staff AI Engineer to help build the foundational AI platform behind a growing suite of intelligent products.

Youโ€™ll work across AI infrastructure and product engineering, taking systems from prototype to reliable production deployment. This is a high-autonomy IC role with significant influence over architecture, platform direction, and engineering standards.


What Youโ€™ll Do

  • Build and scale AI platform capabilities across evals, observability, ingestion, and orchestration
  • Design and improve RAG pipelines, embeddings workflows, retrieval systems, and prompt architectures
  • Build tooling for testing, monitoring, versioning, and debugging LLM-powered systems
  • Own AI systems from experimentation through production
  • Partner with product, design, engineering, and domain experts to automate complex workflows
  • Shape technical standards and architecture across the broader AI engineering organization


What Youโ€™ll Bring

  • Strong Python and software engineering fundamentals
  • Experience shipping production AI systems using LLMs, RAG, agents, evals, NLP, or AI/ML infrastructure
  • Strong understanding of reliability, scalability, testing, and observability
  • Experience owning ambiguous, technically complex problems
  • A pragmatic builder mindset focused on durable production systems rather than demos


Tech Stack

  • Python
  • LLMs
  • RAG
  • Embeddings and semantic retrieval
  • AI agents
  • Evaluation frameworks
  • AI observability
  • Data ingestion pipelines
  • Workflow orchestration
  • Backend and distributed systems


Why Join?

Youโ€™ll help shape the AI foundation of a well-funded, fast-scaling SaaS company where AI is central to the product roadmap.

The role offers significant technical ownership, difficult production AI problems, and the opportunity to influence architecture across the organization.

Compensation is $270k to $300k base + equity.


About People In AI

People In AI is a specialist talent partner connecting exceptional AI, machine learning, data, and software engineering talent with ambitious technology companies across the US.