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Ai Applications Engineer Jobs (NOW HIRING)

quadric, Inc

AI Applications Engineer

Burlingame, CA · 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 ...

quadric, Inc

AI Applications Engineer

Burlingame, CA · 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 ...

quadric, Inc

AI Applications Engineer

Burlingame, CA · 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 ...

Lantern

Azure AI Applications Engineer

Dallas, TX · On-site

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 ...

Hedge Fund

AI Applications Engineer

Manhattan, NY · On-site

$180 - $280/hr

Multi-Strategy / Multi-Manager hedge fund with >$3BB in AUM and a core focus on long / short equity strategies is seeking to hire a Senior AI Applications / Full Stack Engineer to build end-to-end AI ...

Lantern

Azure AI Applications Engineer

Dallas, TX · On-site

This role involves architecting and implementing scalable AI applications, providing technical leadership, and mentoring junior engineers to drive innovation in various sectors including healthcare ...

Lantern

Azure AI Applications Engineer

Dallas, TX · On-site

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 using Microsoft Azure ...

Marquam Group

Azure AI Applications Engineer

Dallas, TX · On-site

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

Azure AI Applications Engineer

Dallas, TX · On-site

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

Azure AI Applications Engineer

Dallas, TX · On-site

They are seeking an Azure AI Applications Engineer to lead the development of intelligent applications leveraging Microsoft Azure's AI ecosystem, working across various sectors to deliver innovative ...

Monograph

AI Applications Engineer

San Francisco, CA · On-site

$152 - $207/hr

About the Role: We're looking for an AI Applications Engineer to help drive Notion's business transformation efforts. In this role, you'll be a strategic partner to our internal stakeholders ...

New

Twin Health

Senior AI Applications Engineer

$195K - $210K/yr

Opportunity We are looking for a Senior AI Applications Engineer to join our team and play a key role in shaping the next generation of deeper activity experiences. This is an exciting opportunity to ...

Twin Health

Senior AI Applications Engineer

$195K - $210K/yr

Opportunity We are looking for a Senior AI Applications Engineer to join our team and play a key role in shaping the next generation of deeper activity experiences. This is an exciting opportunity to ...

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All JobsAi Applications Engineer Jobs

Ai Applications Engineer information

See salary details

$50.5K

$110.7K

$152K

How much do ai applications engineer jobs pay per year?

As of Aug 21, 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.

What is an AI applications engineer?

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.

What are the key skills and qualifications needed to thrive as an AI applications engineer?

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.

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 does an AI applications engineer do?

An AI applications engineer designs, develops, and implements artificial intelligence solutions to solve specific business problems. They work with machine learning models, data processing, and programming tools like Python or TensorFlow, often collaborating with data scientists and software developers to deploy AI systems effectively.
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Ai Applications Engineer jobs near you
Infographic showing various Ai Applications Engineer job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $110,698 per year, or $53.2 per hour.

AI Applications Engineer

Bright Vision Technologies

Reston, VA • On-site

$100 - $175/hr

Other

Posted 3 days ago

New

Job description

AI Applications Engineer – Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: AI Applications Engineer

Location: 100% Remote (United States)

Position Type: Full-time, Direct W2

Salary Range: $100,000–$175,000 Annually

Experience: 6+ years

Sponsorship: U.S. Citizens, Green CardHolders, EADHolders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

We are looking for an AI Applications Engineer to design, execute, and operationalize fine-tuning workflows for large language models across supervised, preference-based, and reinforcement learning approaches. The role requires deep practical experience with modern training stacks, careful dataset construction, rigorous evaluation methodology, and the engineering discipline to operate complex training pipelines reliably. The ideal candidate combines strong ML intuition with production-grade engineering practices, and is comfortable navigating the trade-offs between data quality, compute budget, evaluation rigor, and shipping velocity. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.

Required Qualifications
  • Master’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent experience.
  • Six or more years of combined ML research and engineering experience, with significant LLM exposure.
  • Strong proficiency in Python and modern deep learning frameworks, especially PyTorch.
  • Hands‑on experience fine‑tuning transformer‑based language models at non‑trivial scale.
  • Familiarity with distributed training strategies including FSDP, ZeRO, and pipeline parallelism.
  • Experience with RLHF, DPO, or other preference optimization techniques.
  • Strong understanding of evaluation methodology, benchmarks, and human evaluation design.
  • Experience operating training jobs on GPU clusters and recovering from failures.
  • Strong written and verbal communication skills.
  • Track record of shipping or publishing impactful LLM work.
Preferred Qualifications
  • Publications at top‑tier ML venues.
  • Experience with multimodal model fine‑tuning.
  • Familiarity with synthetic data generation and dataset distillation.
  • Open‑source contributions to LLM training libraries.
  • Exposure to responsible AI evaluation and red‑teaming practices.
Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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