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Applied Ai Engineer Jobs in San Ramon, CA (NOW HIRING)

Applied AI Engineer

San Francisco, CA ยท On-site

$160K - $260K/yr

Vishruth (Founding Applied AI Engineer) , previously a Data Scientist at Klaviyo specializing in NLP, with a research background from Cornell. * Daniel (Founding Applied AI Engineer) , formerly a ...

Applied AI Engineer

San Francisco, CA ยท On-site

$120 - $150/hr

What we're looking for We're looking for an Applied AI Engineer with 2-5 years of experience building and shipping AI systems used by real people. You're comfortable working with modern LLM-based ...

Senior Applied AI Engineer

San Francisco, CA ยท On-site

$120 - $160/hr

Role Overview We are looking for a Senior Applied AI Engineer to join our on-site Research & Intelligence team in San Francisco. This role is for an experienced engineer who enjoys working close to ...

Applied AI Engineer

San Francisco, CA ยท On-site

$150 - $210/hr

Job Summary Drata is seeking an Applied AI Engineer to drive the quality and effectiveness of our AI systems through rigorous experimentation, evaluation, and applied research. This is a research ...

Applied AI Engineer

San Francisco, CA ยท On-site

$175K - $220K/yr

The Role We're looking for an Applied AI Engineer who thrives at the intersection of product, engineering, and research. In this role, you'll collaborate closely with forward-deployed engineers and ...

Senior Applied AI Engineer

San Francisco, CA ยท On-site

$190K - $250K/yr

As we expand our capacity to support more family caregivers at scale, we're looking for a Senior Applied AI Engineer to design and build production AI systems that automate complex, consequential ...

As an Applied AI Engineer, you'll design and ship production AI systems that change how WorkOS builds, sells, supports, and scales. You'll also be building things that WorkOS customers use, and ...

We are looking for Applied AI Engineers to build AI systems that use agent interaction data to understand how agents behave, evaluate them at scale, and improve them through learning and feedback.

Applied AI Engineer

San Francisco, CA ยท On-site

$140 - $190/hr

What you'll have * 2+ years of professional software engineering, machine learning, or Applied AI experience, or equivalent demonstrated ability. * Strong programming skills and software engineering ...

Join to apply for the Applied AI Engineer role at Zania Base pay range $180,000.00/yr - $250,000.00/yr Why Zania Every enterprise spends millions of dollars on Governance, Risk, and Compliance (GRC)

Applied AI Engineer

Palo Alto, CA ยท On-site

$180K - $250K/yr

Join us in shaping the future of healthcare. Job Summary: We're hiring an Applied AI Engineer to focus on building and scaling real-world AI workflows. This role is designed for engineers who are ...

Applied AI Engineer

San Francisco, CA ยท On-site

$180 - $240/hr

As an Applied AI Engineer, you'll be responsible for building, refining, and scaling the agent systems inside Sauna, from architecture to evals to deployment. We care about what works in production ...

Mentor engineers and raise the bar on applied AI engineering practices What You'll Work On * AI-driven coaching and insights from call transcripts * Real-time intelligence during calls, such as next ...

Senior Applied AI Engineer

San Francisco, CA ยท On-site

$190K - $265K/yr

As a Senior 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 ...

Applied AI Engineer

San Francisco, CA ยท On-site

$180K - $240K/yr

As an Applied AI Engineer, you'll be responsible for building, refining, and scaling the agent systems inside Sauna, from architecture to evals to deployment. We care about what works in production ...

Applied AI Engineer, Plugins

San Francisco, CA ยท On-site

$197K - $280K/yr

About the Team The Ecosystem Applied AI Engineering team supports strategic partners as they build high-quality technical integrations into ChatGPT and Codex. Our goal is to create products users ...

Showing results 21-40

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 are popular job titles related to Applied Ai Engineer jobs in San Ramon, CA?

For Applied Ai Engineer jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Applied Ai Engineer jobs in San Ramon, CA look for?

The top searched job categories for Applied Ai Engineer jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Applied Ai Engineer jobs?

Cities near San Ramon, CA with the most Applied Ai Engineer job openings:

Infographic showing various Applied Ai Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior Applied AI Engineer

AI Chopping Block

San Francisco, CA โ€ข On-site

$140 - $190/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

Why Mintlify?

We're on a mission to empower builders.

  • Massive reach: Our docs platform serves 100 million+ developers every year and powers documentation for 20,000+ companies, including Anthropic, Microsoft, PayPal, Spotify, Coinbase, X, and over 20% of the last YC batch.

  • Small team, huge impact: We recently passed 65 employees and raised a $45 million Series B led by A16Z and Salesforce Ventures. Each new hire has a huge impact on shaping the company's trajectory.

  • Culture of slope over y-intercept: We value learning velocity, grit, and unapologetically unique personalities.

We grew in value faster than headcount and weโ€™re looking to align the two quickly.

Weโ€™re looking for product-minded engineers to build the AI experiences behind Mintlify. Youโ€™ll combine strong full-stack engineering with applied AI expertise to create agents that reliably solve real customer problems.

As a Senior Applied AI Engineer, youโ€™ll take ownership of complex AI products from early experimentation through production. Youโ€™ll help define technical direction, establish how we evaluate and improve agent performance, and raise the quality of both our AI products and engineering practices.

What youโ€™ll work on here
  • Leading AI products end to end: Architecting and shipping customer-facing AI experiences, from agent orchestration and tool use to the interfaces and backend systems that support them

  • Building reliable agent systems: Developing agent loops that reason over complex context, call tools, recover from failures, and complete long-running tasks

  • Driving evaluation and iteration: Defining evals, build feedback loops, analyze failures, and systematically hill-climb on prompts, context, models, tools, and product flows

  • Turning prototypes into products: Making thoughtful decisions about architecture, latency, cost, observability, and user experience to operate AI systems reliably at scale

  • Shaping product direction and engineering approaches across the stack


What you bring to the table
  • You have at least 4 years of professional software development experience

  • You possess deep experience building production systems with language models, including agent loops, tool use, retrieval, prompting, and structured outputs

  • You are comfortable owning production software across frontend, backend, APIs, databases, and infrastructure

  • You have led complex projects from experimentation through production and thrive when defining solutions rather than following a spec

  • You have strong product intuition and care about the โ€œwhyโ€ as much as the โ€œhowโ€ when building user-facing software

  • Youโ€™re eager to talk directly with customers and use those insights to shape what we build

  • You have experience mentoring other engineers, sharing technical knowledge, and helping teammates grow


Why you should join our engineering team
  • Youโ€™ll solve technically ambitious product problems alongside a team that values craft, speed, and thoughtful execution. Hereโ€™s a taste of what the team has built:

    • How we built a virtual filesystem for our Assistant

    • Introducing the collaborative editor built for teams and agents

    • Docs URL Benchmark: Markdown & llms.txt > HTML

  • Engineers here are product builders with high agency; you'll drive change and have a voice in strategic decisions

  • Youโ€™ll have plenty of heads-down builder time on a small-but-mighty team where the best ideas win

  • Weโ€™ll find the intersection between what excites you and business priorities. Youโ€™ll own projects, ship, and see immediate impact

Company Benefits:
  • Competitive compensation and equity

  • 20 days paid time off every year

  • 401k or RRSP

  • $420/month wellness stipend

  • 100% coverage for Health, dental, vision

  • Free Ubers to and from work

  • Free lunch and dinners

  • Annual team offsite (previously went to Alaska, Hawaii)

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