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Applied Ai Engineer Jobs (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 ...

Deloitte

Lead Applied AI Engineer II

Dallas, TX · On-site

$101K - $133K/yr

Share this job: Share: Share Lead Applied AI Engineer II with Facebook Share Lead Applied AI Engineer II with LinkedIn Share Lead Applied AI Engineer II with Twitter Caution against fraudulent job ...

CINC Systems

Senior Applied AI Engineer

$107K - $146K/yr

Senior Applied AI Engineer Location: Worldwide (Remote/Hybrid) Reports to: Staff Applied AI Engineer Senior Applied AI Engineer About CINC Systems CINC Systems is the largest provider of accounting ...

Percepta

Applied AI Engineer

Manhattan, NY · On-site

The Applied AI Engineer will work closely with customer executives and technical teams to design, build, and deliver impactful AI systems that generate significant business value. Responsibilities ...

Cognition

Applied AI Engineer

New York, NY · On-site

$180K - $225K/yr

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Our team is extremely talent-dense. Among our founding team, we have world ...

CINC Systems

Senior Applied AI Engineer

$107K - $146K/yr

Senior Applied AI Engineer Location: Worldwide (Remote/Hybrid) Reports to: Staff Applied AI Engineer Senior Applied AI Engineer About CINC Systems CINC Systems is the largest provider of accounting ...

Rowspace

Applied AI Engineer

New York, NY · On-site

$150K - $300K/yr

The Role As an Applied AI Engineer, you'll bring the frontier of AI research and engineering to Rowspace, transforming how our platform understands and surfaces critical financial insights. In a ...

Rowspace

Applied AI Engineer

New York, NY · On-site

$150K - $300K/yr

The Role As an Applied AI Engineer, you'll bring the frontier of AI research and engineering to Rowspace, transforming how our platform understands and surfaces critical financial insights. In a ...

Rowspace

Applied AI Engineer

Manhattan, NY · On-site

As an Applied AI Engineer, you will be responsible for implementing AI research to enhance the platform's understanding of financial contexts and developing systems that streamline financial ...

Percepta

Applied AI Engineer

New York, NY · On-site

$150K - $400K/yr

About the role We're hiring Applied AI Engineers who will work directly with customer executives, operators, and technical teams to define and deliver high-impact AI systems. We don't build ...

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 ...

Ovivo

Applied AI Engineer

Round Rock, TX

We are seeking an Applied AI Engineer to help identify, design, and deploy practical artificial intelligence solutions that improve how we work across the organization. This is a highly visible ...

Apple

Applied AI Engineer

Cupertino, CA

$184K - $277K/yr

We're looking for a hands-on Applied AI Engineer with strong software development skills and a passion for applying LLMs and Agentic workflows to real-world business problems. You will strengthen our ...

General Matter

Applied AI Engineer

Los Angeles, CA · On-site

They are seeking an Applied AI Engineer to accelerate engineering workflows by leveraging modern AI techniques to identify bottlenecks and build tools that enhance efficiency. Responsibilities : • ...

Hasbro

Applied AI Engineer

Boston, MA

We're building something new inside our AI Studio, and we're looking for an Applied AI Engineer to help shape it with us. This role sits at the center of a new and constantly evolving set of ...

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All JobsApplied Ai Engineer Jobs

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.
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Applied Ai Engineer jobs near you
Infographic showing various Applied Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 79% In-person, and 21% Remote job distribution.

Applied AI Engineer

NinjaTech AI

San Francisco, CA • On-site

$80K - $120K/yr

Full-time

Medical, Dental, Vision

Posted 12 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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