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

Abby Care

Applied AI Engineer

San Francisco, CA · On-site

$165K - $220K/yr

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 ...

Qualified Health

Applied AI Engineer

Palo Alto, CA · 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 ...

Orum

Staff Applied AI Engineer

San Francisco, CA · On-site

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 ...

ClarenAI

Founding Applied AI Engineer

San Francisco, CA · On-site

ClarenAI is focused on transforming the legal industry through AI, and they are seeking a Founding Applied AI Engineer. This role involves designing, building, and shipping LLM powered workflows to ...

Wilson

Founding Applied AI Engineer

San Francisco, CA · On-site

The role We are looking for a Founding Applied AI Engineer to work at the core of our product. You will work directly with our CTO across both customer facing features and deep technical systems. You ...

Sauna

Applied AI Engineer

San Francisco, CA · 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 ...

Serval

Software Engineer, Applied AI

San Francisco, CA · On-site

$140 - $210/hr

Role Overview As an Applied AI Engineer at Serval, you'll help build the intelligence behind our platform - the foundational AI agents that reason, act, and automate complex IT workflows. Your work ...

Quantifind

Applied AI Engineer

Palo Alto, CA · On-site

$160K - $200K/yr

Sharable evidence of proven work - portfolios, websites, projects, or competitions (preferred) The Opportunity We Offer As an Applied AI Engineer on Quantifind's AI Systems team, you'll be ...

Quantifind

Applied AI Engineer

Palo Alto, CA · On-site

$160K - $200K/yr

Sharable evidence of proven work - portfolios, websites, projects, or competitions (preferred) The Opportunity We Offer As an Applied AI Engineer on Quantifind's AI Systems team, you'll be ...

Serval Inc

Software Engineer, Applied AI

San Francisco, CA · On-site

$200K - $325K/yr

Role Overview As an Applied AI Engineer at Serval, you'll help build the intelligence behind our platform - the foundational AI agents that reason, act, and automate complex IT workflows. Your work ...

Alembic

Senior Applied AI Engineer

San Francisco, CA · On-site

$211K - $235K/yr

The Role We're hiring a Senior Software Engineer onto our Applied AI team to build and extend the backend systems that power our platform. This is a hands-on role on a small team where your work ...

Mxv

Senior Applied AI Engineer

San Francisco, CA · On-site

$182 - $207/hr

The Role We're hiring a Senior Software Engineer onto our Applied AI team to build and extend the backend systems that power our platform. This is a hands‑on role on a small team where your work ...

Eudia

Applied AI Engineer

Palo Alto, CA · On-site

$180K - $210K/yr

We are looking to hire a solutions-minded, AI-focused engineer to join our growing team in Palo Alto. In this role, the candidate will seize a unique opportunity to work with data from Fortune 500 ...

Artos

Applied AI Engineer

San Francisco, CA · On-site

$171K - $242K/yr

Experience with AI tools as a user, specifically AI code editors * Developing advanced prompt engineering strategies, evaluation frameworks, and RAG pipelines * Conducting technical R&D to explore ...

Eudia

Applied AI Engineer

Palo Alto, CA · On-site

$180K - $210K/yr

We are looking to hire a solutions-minded, AI-focused engineer to join our growing team in Palo Alto. In this role, the candidate will seize a unique opportunity to work with data from Fortune 500 ...

Adobe

Applied AI Engineer

San Jose, CA · On-site

$114K - $214K/yr

The Opportunity We are looking for a hands-on AI Agent Engineer to develop, build, and maintain intelligent agents that drive automation and business impact across the enterprise. This role is ...

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All JobsApplied Ai Engineer JobsApplied Ai Engineer Jobs in San Ramon, CA

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 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 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.

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.

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 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:
Applied Ai Engineer jobs near you
Infographic showing various Applied Ai Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 72% Full Time, 25% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.

Applied AI Engineer

Abby Care

San Francisco, CA • On-site

$165K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

About Abby Care: Powering the future of care at home for all of America.
Abby Care is building the leading AI-native platform for family-led care. America is facing a growing care crisis. Millions more people need care at home than ever. Over 50 million family caregivers support loved ones without the tools, training, or recognition they deserve.
We believe families are the largest untapped caregiving workforce in America, and that technology can help them deliver better care while driving stronger outcomes and greater transparency across the healthcare system.
Abby Care combines clinical oversight with an AI-powered platform to train, enable, and support family caregivers in delivering high-quality care at home. Our platform helps health plans and government partners better understand, verify, and improve care in the home. We expand access to care, reduce reliance on higher-cost settings, and help ensure public dollars are spent effectively.
We are proud to partner with leading health plans, providers, and community organizations and are backed by top VCs. We envision a future where family-led care is a core part of the healthcare system. Abby Care is building that future.
Join us in solving one of the most important challenges of our time.
What you'll work on
Build AI-powered products and automation: Develop agents, copilots, and intelligent workflows that help caregivers, clinicians, and operational teams deliver better care at scale.
Develop production systems: Build the backend services, APIs, data pipelines, integrations, and reusable AI components required to move solutions from prototype to reliable production use.
Work with complex healthcare information: Create systems that extract, retrieve, and reason over clinical documents, conversations, operational records, and other structured and unstructured data.
Evaluate and improve system quality: Build representative datasets, measure performance, analyze failures, and improve models, prompts, retrieval, tools, and workflow logic based on evidence.
Learn directly from users and operations: Partner with Product, Design, Clinical, and Operations to understand real workflows, identify edge cases, and rapidly iterate based on production feedback.
Contribute to strong engineering foundations: Write maintainable, well-tested code and help build shared capabilities for orchestration, tool use, structured outputs, monitoring, tracing, and evaluation.
What success looks like
  • You consistently ship AI-powered capabilities that solve real problems for caregivers, clinicians, and operational teams.
  • Your work progresses from prototype to reliable production functionality rather than stopping at demonstration-stage experiments.
  • The systems you build are supported by clear evaluations, monitoring, and documented limitations.
  • You use production feedback and error analysis to improve system quality over time.
  • You collaborate effectively with product engineers, domain experts, and operational users.
  • You develop reusable components that accelerate future Applied AI work.
  • You grow your ability to independently own increasingly complex projects and technical decisions.
  • You build a strong understanding of when to use AI, deterministic software, or human review to produce the best outcome.
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 fundamentals.
  • Experience building applications using language models, machine-learning models, or modern AI APIs.
  • Familiarity with backend development, APIs, data processing, testing, and production software systems.
  • Ability to structure ambiguous problems, test assumptions, and iterate based on evidence.
  • Interest in building evaluations and understanding why AI systems succeed or fail.
  • Strong ownership, curiosity, and willingness to engage directly with users and operational workflows.
  • Clear written and verbal communication skills.
  • Must reside in or be willing to permanently relocate to the San Francisco Bay Area.
  • Experience with Python, agent architectures, retrieval-augmented generation, document intelligence, multimodal models, structured generation, model evaluation, monitoring, or prompt optimization is preferred but not required.
  • Experience in healthcare, fintech, insurance, another regulated environment, a startup, or an operations-intensive business is preferred but not required.
Benefits:
  • Competitive compensation packages that reflect the value you bring. We reward our team for the impact of their work.
  • Comprehensive health coverage that works for you. Choose from high-quality medical dental and vision options, including a $0 deductible PPO and a company-funded HSA, alongside employer-paid life and disability insurance.
  • Generous paid time off. We provide policies that allow you to recharge along with 10 paid company holidays.
  • Financial savings benefits to support your future. We support your financial well-being with HSA contributions, optional FSA and commuter benefits, and full coverage of all 401(k) account fees (employer match not currently offered).
  • Paid parental leave to support your growing family. We provide paid leave, so you can focus on bonding and adjusting to life as your family grows.

Our Values
  1. Families FirstRedefining healthcare starts with how we treat the parents and children we serve. We go above and beyond for every family, building strong, lasting relationships. We continually ask ourselves, "Would we want this for our own families?"
  2. Urgency with PrecisionMillions of families are waiting for care, and they cannot wait, therefore this is not your typical 9 to 5 job. We match their urgency with our own, delivering exceptional care without compromise. Here, speed and excellence go hand in hand.
  3. Relentlessly ResourcefulAs an ambitious startup, we adapt quickly and make the most of limited time and resources. We solve challenges with creativity to deliver results without unnecessary complexity.
  4. Purpose with PositivityWe take our mission seriously while never losing sight of the people behind the work. Respect, kindness, memes, and coffee make us stronger as a team and better for the families we serve.
  5. Driven to Redefine What's PossibleWe are here to make healthcare better, which means asking hard questions, challenging outdated systems, and finding smarter, more compassionate ways to deliver care.

Automated Decision Tools
Abby Care may use automated decision tools to help match and rank candidate work experience, education and skills found in online profiles, resumes and job applications against job requirements. We believe that these tools help ensure objective, data-based decisions during the hiring process, however, all Abby Care hiring decisions involve final human review and input. If you have questions or would like to request an alternative process, contact talent@abbycare.org.

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