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Ai Applications Engineer Jobs (NOW HIRING)

AI Applications Engineer

Burlingame, CA ยท On-site

$110K - $270K/yr

Role The AI Applications Engineer is the key bridge between development engineering and hands-on users in the field. The AI Application Engineer will [1] integrate Quadric product and software stack ...

AI Applications Engineer

Burlingame, CA ยท On-site

$110K - $270K/yr

Role The AI Applications Engineer is the key bridge between development engineering and hands-on users in the field. The AI Application Engineer will [1] integrate Quadric product and software stack ...

AI Applications Engineer

Burlingame, CA ยท On-site

$110K - $270K/yr

Role The AI Applications Engineer is the key bridge between development engineering and hands-on users in the field. The AI Application Engineer will [1] integrate Quadric product and software stack ...

Azure AI Applications Engineer We are seeking an Azure AI Applications Engineer to join our growing team at Lantern, where you will lead the development of intelligent applications that harness the ...

Lantern is a company that values a culture of trust and collaboration, and they are seeking an Azure AI Applications Engineer to lead the development of intelligent applications leveraging Microsoft ...

Azure AI Applications Engineer We are seeking an Azure AI Applications Engineer to join our growing team at Lantern, where you will lead the development of intelligent applications that harness the ...

... applications you build: package for production on Azure AI Foundry or Container Apps, add tracing and logging, monitor usage and quality, and respond to production issues. * Apply prompt engineering ...

... applications you build: package for production on Azure AI Foundry or Container Apps, add tracing and logging, monitor usage and quality, and respond to production issues. * Apply prompt engineering ...

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Ai Applications Engineer information

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$50.5K

$110.7K

$152K

How much do ai applications engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for ai applications engineer in the United States is $110,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $135,000.00 per year, depending on experience, location, and employer.

How does an AI Applications Engineer typically collaborate with data scientists and software developers on project teams?

As an AI Applications Engineer, you will often serve as a bridge between data scientists, who build and optimize machine learning models, and software developers, who integrate these models into production systems. Collaboration usually involves translating model requirements into scalable application features, ensuring model outputs align with user needs, and troubleshooting technical challenges that arise during deployment. Regular meetings, code reviews, and shared documentation are common practices to keep everyone aligned and ensure seamless integration. This cross-functional teamwork enhances both the technical robustness and usability of AI-powered applications.

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

AspectAi Applications EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech, research institutions

While both roles involve AI and data, Ai Applications Engineers focus on developing and deploying AI solutions in engineering contexts, whereas Data Scientists analyze data to extract insights. The roles often overlap but differ mainly in their primary focus and application environment.

What is a $900000 AI job?

A $900,000 AI applications engineer role typically refers to a high-level position in artificial intelligence development, often involving advanced skills in machine learning, deep learning, and data analysis. Such compensation may include base salary, bonuses, and stock options, usually found in senior or specialized roles within tech companies or startups. These positions often require extensive experience, certifications, and a strong understanding of AI tools and frameworks.

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

To thrive as an AI Applications Engineer, you need strong programming abilities (Python, Java, or C++), a solid understanding of machine learning algorithms, and a relevant degree in computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools is typically required, along with certifications in machine learning or AI. Excellent problem-solving, collaboration, and communication skills help you translate business needs into effective AI solutions and work efficiently with cross-functional teams. These skills are critical for building scalable, reliable AI systems that deliver tangible value to organizations.

What does an AI application engineer do?

An AI application engineer designs, develops, and implements artificial intelligence solutions to solve specific problems or improve processes. They work with machine learning models, programming languages like Python or Java, and tools such as TensorFlow or PyTorch, often collaborating with data scientists and software developers to deploy AI systems in real-world applications.

Which 3 jobs will survive AI?

AI Applications Engineers are likely to continue to find roles in developing, implementing, and maintaining AI systems, as their expertise in integrating AI solutions remains in demand. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist despite AI advancements. These roles often involve tasks that are difficult for AI to fully replicate or automate.

What engineer makes $500,000 a year?

Highly experienced AI Applications Engineers working in senior or specialized roles at large tech companies or in consulting can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. Such roles typically require advanced skills in machine learning, deep learning, and software development, along with significant industry experience and often a master's or Ph.D. degree.

What are AI Applications Engineers?

AI Applications Engineers are professionals who design, develop, and integrate artificial intelligence (AI) solutions into software applications to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to build and deploy machine learning models, automate processes, and enhance user experiences. Their responsibilities often include selecting appropriate AI technologies, writing code, testing models, and optimizing performance. AI Applications Engineers play a key role in translating AI research and prototypes into scalable and maintainable products used in industries like healthcare, finance, retail, and more.
More about Ai Applications Engineer jobs
What cities are hiring for Ai Applications Engineer jobs? Cities with the most Ai Applications Engineer job openings:
What states have the most Ai Applications Engineer jobs? States with the most job openings for Ai Applications Engineer jobs include:
Infographic showing various Ai Applications Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $110,698 per year, or $53.2 per hour.
AI Applications Engineer

AI Applications Engineer

quadric, Inc

Burlingame, CA โ€ข On-site

$110K - $270K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
Role
The AI Applications Engineer is the key bridge between development engineering and hands-on users in the field. The AI Application Engineer will [1] integrate Quadric product and software stack into AI/LLM frameworks and ecosystem; [2] develop AI applications based on Quadric products; [3] lead technical customer/developer support initiatives in collaboration with field application engineers, Business Development, Product, and Engineering teams; and [4] develop technical materials to support the use of Quadric product. This position requires exceptional technical depth, strong coding capabilities, and advanced troubleshooting skills to develop AI applications, benchmarks, and reference implementations using Quadric's SDK. This senior technical role demands expertise in system architecture, AI frameworks, algorithm optimization, and the ability to provide technical leadership across global FAE teams. Candidates must demonstrate deep technical mastery of Quadric's product ecosystem including HPC Hardware (IP, Chips, Boards), SDK, and various algorithms (NN, DSP, Vision, Path Planning, etc.).
This California Bay Area based engineering role is intended to be primarily in-office at our Burlingame location, with the ability to commute regularly. We believe strong technical collaboration, rapid iteration, and shared problem-solving are well supported by working together in person. The team and company also gather periodically for onsite meetings and offsite events to connect, collaborate, and align on priorities.
Responsibilities
  • Customize AI/LLM frameworks and integrate Quadric products and SDK into AI/LLM ecosystem
  • Develop AI applications, demos using Quadric's SDK and AI frameworks to showcase product capabilities and performance to developer community and customers
  • Design and implement optimization strategies for AI/LLM applications on Quadric's platform
  • Analyze complex AI/LLM application requirements/issues and architect optimal solutions leveraging Quadric's technology
  • Collaborate across related areas of the AI inference stack to support team and business priorities
  • Provide technical leadership, training and support to developer community and customers worldwide
  • Work with Business Development to articulate technical value propositions to potential customers
  • Collaborate with Product and Engineering teams to influence product roadmap based on application needs
  • Stay current with industry trends, competitive technologies, and emerging applications
  • Occasional travel required to customer sites

Requirements
  • Bachelor's or Master's in Computer Science and/or Electronics Engineering field
  • 5+ years experience with AI/LLM frameworks in at least one of the following: PyTorch, vLLM, Tensorflow, onnxruntime, llamacpp; deep understanding of the framework's codebase
  • Demonstrate knowledge of computer vision, perception, or LLM, and experience in related application development
  • Proficiency in Python and C/C++, experience with CUDA, NEON a plus
  • Experience with Linux, docker based development environments
  • Experience with quantization and model accuracy analysis a plus
  • Ability to methodically debug problems, relay information to the engineering team, and test and deploy system updates and upgrades

Benefits
At Quadric, we value Integrity, Humility, and Happiness. What we expect from one another is simple and clear: Initiative, Collaboration, and Completion. We are a collaborative team focused on building something extraordinary in the edge computing space.
  • Competitive salary and meaningful equity
  • Medical, dental, and vision plan options starting on day one
  • 401(k) retirement plan
  • Flexible paid time off (unlimited, non-accrual) to support work-life balance
  • When working in-office, enjoy company-provided lunches and a stocked kitchen
  • Convenient office location within walking distance of the Caltrain station
  • Support for commuting, including monthly parking or Caltrain passes
  • Downtown Burlingame office location, close to shops, cafes, and local amenities
  • A politics-free, highly collaborative environment where talented people can do their best work and make an immediate impact
  • The opportunity to build long-term career relationships in a company that values strong personal connections alongside professional excellence

The base salary range for this position is $110,000 to $270,000. This range reflects the full span of levels and geographies at which Quadric hires for this role. The actual base salary offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience, technical skills and competencies, the criticality of the role to the business, internal equity, and work location. In addition to base salary, this role is eligible for equity and a discretionary annual performance bonus as applicable to the role and level.
Quadric also offers the generous benefits package outlined above and other programs designed to support your health and wellbeing.
Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world's first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow's technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.
Quadric is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where people from all backgrounds can do their best work. We consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
If this role resonates with you, we encourage you to apply even if your experience does not perfectly match every qualification. We value potential, curiosity, and a willingness to learn just as much as direct experience. Skills and growth come in many forms, and we would love to hear your story.
By submitting an application, you acknowledge that Quadric will collect and process your personal information as part of the hiring process. Please review our Privacy Policy to understand how we handle your data.

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About Quadric.io

Sourced by ZipRecruiter

Industry

Semiconductor and electronic component manufacturing

Company size

11 - 50 Employees

Headquarters location

Burlingame, CA, US

Year founded

2016

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