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Ai Integration Engineer Jobs in California (NOW HIRING)

Plaud

AI Integration Engineer

San Francisco, CA · On-site

$140K - $276K/yr

Build the integration + auth layer - connect the core stack (Okta/Entra, Rippling, NetSuite, Slack ... other frontier AI systems to maximize engineering and execution efficiency. * Best-in-Class ...

CXApp, Inc

Analytics and AI Integration Engineer

San Ramon, CA · On-site

$115K - $155K/yr

As an Analytics and AI Integration Engineer at CXAPP, you will play a crucial role in integrating AI capabilities into our systems, optimizing performance, and ensuring the seamless deployment of AI ...

Cotality

AI Integration Architect

Irvine, CA · On-site

$76 - $98/hr

Bring strong backend engineering practices to the AI layer, with a consistent track record of ... integration. * Solid foundation in API architecture and authentication patterns, including REST ...

Deloitte

Boomi Integration Engineer

San Francisco, CA · On-site

$122K - $164K/yr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

Ironflow AI

AI/LLM Integration Engineer

San Diego, CA

$110K - $148K/yr

As our AI/LLM engineer, you won't just write prompts -- you'll define how the system thinks. You'll ... Evaluate and integrate emerging frameworks for performance, safety, and extensibility What You ...

Hark

Integration Engineer

San Jose, CA

$170K - $400K/yr

While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on ... You'll work directly with platform engineers and model researchers, and the integrations you build ...

Hark

Integration Engineer

San Jose, CA · On-site

$170K - $400K/yr

While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on ... You'll work directly with platform engineers and model researchers, and the integrations you build ...

Meta

Systems Integration Engineer

Menlo Park, CA

$173K/yr

The candidate shall also have good knowledge of the AI/ML system architecture at the block level with hands-on skills to triage the systematic failures in the field.This role will interact with cross ...

Meta

Systems Integration Engineer

Menlo Park, CA

$144K/yr

The candidate should also have knowledge of the AI/ML system architecture at the block level with hands on skills to triage the systematic failures in the field.This role will interact with cross ...

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All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in California

Ai Integration Engineer information

See California salary details

$43.9K

$122.6K

$171.2K

How much do ai integration engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for ai integration engineer in California is $122,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $138,200.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position such as an AI executive, senior machine learning engineer, or AI research director that offers a total compensation package including salary, bonuses, and stock options. These roles usually require advanced skills in AI, deep learning, and data science, along with extensive experience and often involve leadership responsibilities in innovative technology companies.

What are some common challenges faced by AI Integration Engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

What does an AI integration engineer do?

An AI integration engineer designs and implements systems that incorporate artificial intelligence into existing software or hardware platforms. They work with machine learning models, APIs, and data pipelines to ensure seamless integration, often using programming languages like Python and tools such as cloud services. Their role involves testing, troubleshooting, and optimizing AI components for reliable performance within broader applications.

What are the key skills and qualifications needed to thrive as an AI Integration Engineer, and why are they important?

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

Are AI engineers highly paid?

AI integration engineers are generally well-paid due to the high demand for expertise in artificial intelligence, machine learning, and data analysis. Salaries vary based on experience, location, and industry, but they tend to be above average compared to many other engineering roles. Advanced skills in programming, neural networks, and cloud platforms can further increase earning potential.

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

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

What engineer makes 500,000 a year?

Highly experienced AI Integration Engineers working in senior or specialized roles at large technology companies can earn salaries approaching or exceeding $500,000 annually, especially when including bonuses and stock options. Such compensation typically requires advanced skills in machine learning, software development, and cloud platforms, along with extensive industry experience and a strong track record of successful projects.

What are AI Integration Engineers?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.
What are popular job titles related to Ai Integration Engineer jobs in California? For Ai Integration Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Ai Integration Engineer jobs in California look for? The top searched job categories for Ai Integration Engineer jobs in California are:
What cities in California are hiring for Ai Integration Engineer jobs? Cities in California with the most Ai Integration Engineer job openings:
Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in California as of July 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $122,648 per year, or $59 per hour.

AI Integration Engineer

Plaud

San Francisco, CA • On-site

$140K - $276K/yr

Full-time

Re-posted 4 days ago

Job description

About Plaud Inc.
Plaud is building the real-world AI interface for professionals to amplify intelligence, elevate productivity and performance, loved by over 2,000,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud captures, structures, and compounds the intelligence generated in conversations - so humans can think better, decide faster, and execute with clarity.
Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human-AI intelligence through a hardware-software combination. With full ISO 27001, ISO 27701, SOC 2, GDPR, EN18031, and HIPAA compliances, Plaud is committed to the highest standards of data security and privacy protection.
To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram, X, Facebook, Linkedin, and YouTube
Why You Should Join Us
Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.
  • Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years.
  • Define the next-gen paradigm for human-AI interaction.
  • Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion.
  • Work with passionate teammates who value innovation, collaboration, and customer success.
  • Grow your career in a culture that champions continuous learning and fast career development.
  • Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.
  • We're hiring the engineer who turns "someone should automate this" into "done."

What you will do
  • Pick the platform, set the architecture - choose the orchestration / iPaaS (Tray, Workato, n8n...) and define the integration patterns, data contracts and auth model others build to.
  • Build the integration + auth layer - connect the core stack (Okta/Entra, Rippling, NetSuite, Slack, Notion) with automated, identity-driven provisioning.
  • Ship AI agents & automations - starting with quick wins, hire-to-retire, and help-desk deflection.
  • Turn jobs-to-be-done into production - monitored, reliable automations with runbooks. No solo-maintained black boxes.
  • Partner across the company - wire systems to Business Systems' data contracts, across all global offices

How you'll elevate Plaud
  • From manual to automatic. The repetitive work that drains people quietly disappears.
  • Quick wins everyone feels. You ship the automations that change how a team works the same week.
  • You make the company faster. Every system you connect compounds - the whole org moves quicker.

Skills, qualifications and experience we look for
  • 5+ years building integrations and/or automation in production (APIs, webhooks, SCIM, event-driven), hands-on with an iPaaS (Workato, n8n, Tray, or similar).
  • Has shipped AI/LLM agents or automations end-to-end - orchestration, workflow and prompt design - not just prototypes.
  • Strong engineering fundamentals and scripting (Python), with production discipline: monitoring, error handling, runbooks.
  • Solid grasp of identity/auth (SSO, SCIM, OAuth) and how systems of record (HRIS, ERP, collaboration) connect.
  • A builder's bias - would rather ship a rough quick win this week than perfect a plan for next quarter

What we offer
  1. Meaningful Ownership An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud's long-term success.
  2. High-Impact Environment Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity.
  3. Cutting-Edge AI Tools for Productivity Access to best-in-class AI tools, including Gemini, Claude Code, and other frontier AI systems to maximize engineering and execution efficiency.
  4. Best-in-Class Equipment Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires.
  5. Team & Culture Annual company off-sites, team events, and a culture that values craftsmanship, ownership, and velocity.

【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $140,000 - $276,000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and equity.
Disclaimer: Plaud is and will continue to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics.

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