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

NinjaTech AI

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 ...

Rowspace

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 ...

Console

Applied AI Engineer

San Francisco, CA · On-site

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 ...

Nexxa.ai

Applied AI Engineer

San Francisco, CA · On-site

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 ...

Alterion

Senior Applied AI Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are seeking a Senior Applied AI Engineer to work on applied GenAI problems, focusing on building and improving production systems. Responsibilities : • Build and maintain pipelines for model ...

Artos AI

Applied AI Engineer

San Francisco, CA · On-site

They are seeking an Applied AI Engineer to develop and scale their platform, enhancing the delivery of life-saving treatments through innovative AI/ML applications. Responsibilities : • Help ...

Arcade.dev

Applied AI Engineer

San Francisco, CA · On-site

As an Applied AI Engineer on the Tools team, you'll design agentic tools, build automated tool creation harnesses, and compose workflows that solve complex customer outcomes. Responsibilities : • ...

Zania, Inc

Applied AI Engineer

Palo Alto, CA · On-site

$180K - $250K/yr

Our engineers and GRC experts work at the absolute forefront of applied AI, building agentic systems that will define the future of compliance. * Hyper-Growth: 10x ARR growth in the last year.

daydream Labs, Inc

Applied AI Engineer

San Francisco, CA · 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 ...

Drata Inc

Applied AI Engineer

San Francisco, CA · On-site

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-focused role ...

Arcade AI, Inc

Applied AI Engineer

San Francisco, CA · On-site

Required Skills * 5+ years software engineering experience, with at least 2 years shipping production ML or applied-AI systems. Formal title matters less than the work. * Strong Python. * LLM ...

Automat

Applied AI Engineer

San Francisco, CA · 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 ...

Arcade.dev

Applied AI Engineer

San Francisco, CA · On-site

As an Applied AI Engineer on the Tools team, you will design and ship agentic tools, build automated tool creation systems, and compose workflows that solve complex customer outcomes.

Abby Care

Senior Applied AI Engineer

San Francisco, CA · 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 ...

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 ...

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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

NinjaTech AI

San Francisco, CA • On-site

$80K - $120K/yr

Full-time

Medical, Dental, Vision

Posted 17 days ago

Job description

Why NinjaTech AI
We are building the unmetered intelligence workforce: autonomous AI agents that do real, end-to-end work for enterprises instead of just answering questions. Since founding in 2022 we have gone from research to agents running production workloads inside real companies, on secure, isolated infrastructure, backed by SRI International, DCVC, and Candou Ventures. This is a small, senior team moving at startup speed on one of the most consequential problems in technology, and the Applied AI Engineer sits at the sharpest edge of it: your work lands in front of real customers in weeks, not quarters, and directly shapes how the world's most demanding enterprises adopt agentic AI. If you want the shortest possible line between what you build and the outcomes it creates, this is a rare seat.
Why this role exists
When we close a large enterprise deal, the contract is the start of the hard part, not the end. The customer has bought an outcome, an "unmetered intelligence workforce" doing real work inside their business, and someone has to make that outcome real, fast, inside their systems, their security constraints, and their messy data. That someone is the Applied AI Engineer. We attach an Applied AI Engineer to every large enterprise account. They embed with the customer, build the first high-value agentic workflows on our platform, and own technical success from kickoff through go-live and expansion. 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 operations and data, and stand up the first production agent workflows on NinjaTech in weeks, not quarters.
  • Build custom, tailored solutions. Wire our platform into the customer's real systems (their data sources, identity, ticketing, CRMs, internal APIs) and build the bespoke automations, prompts, tools, and guardrails that make agents useful for their jobs-to-be-done.
  • Be the technical face of NinjaTech in the room. Run working sessions with everyone from the customer's frontline operators to their CISO and CTO. Translate their vision into an architecture, and translate our platform into their language.
  • Drive adoption and expansion. A deployment that isn't used doesn't renew. Instrument usage, hunt for the next high-value workflow, and turn a beachhead into an org-wide rollout. Your success metric is customer outcomes that drive net revenue retention.
  • Clear enterprise gauntlets. Own the technical side of security review, isolated-VM/data-residency requirements, SSO/SCIM, SOC 2 / DPA questionnaires,and procurement's technical due diligence.
  • Close the loop to Product. You see what breaks in the field first. Feed sharp, prioritized signal back to core engineering; occasionally upstream a fix or a reusable component so the next deployment is faster.

What we require
  • Engineering background. You're a genuine builder. Proficient in Python and at least one of TypeScript/JavaScript, Java, or Go; comfortable across data plumbing, APIs, and a bit of front-end when a demo needs it.
  • Genuine curiosity about agentic AI and LLM systems: prompt/tool design, evals, orchestration, guardrails, and the failure modes of agents in production. You don't need to have built them at scale, but you should be hungry to.
  • Data fluency. You can wrangle messy, large-scale, real-world data and reason about storage, pipelines, and cloud infrastructure.
  • Executive presence and operator empathy. You can hold a credible technical conversation with a CTO and sit with a frontline user to understand their actual workflow. You listen before you build.
  • Bias to ship. You move with speed and precision, iterate with users, and are energized (not frustrated) by evolving objectives.
  • Willingness to travel up to ~25% to customer sites, and to be onsite in the Bay Area with the core team.

What we value (nice-to-haves)
  • Experience integrating into regulated or security-sensitive enterprise environments (isolated VMs, on-prem/VPC, SOC 2, HIPAA, FedRAMP-adjacent).
  • Prior forward-deployed / solutions-engineering / delivery experience at an enterprise-software or infra company.
  • A track record of turning a first deployment into a much larger footprint.

Compensation & logistics
  • Base range $80K to $120K depending on level and experience, plus meaningful equity and a delivery/expansion-linked bonus.
  • Onsite in the Bay Area with the core team; ~25% travel to customer sites.
  • Full benefits (medical / dental / vision, etc.).

Equal opportunity
NinjaTech AI is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment.

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