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Ai Applications Engineer Jobs in Virginia (NOW HIRING)

Socket.dev

Senior Applications Engineer

Fort Belvoir, VA · On-site

$120 - $190/hr

If we've described you and your dream workplace, Senior Applications Engineer Position Summary We ... Lead development of predictive, prescriptive, and generative AI capabilities supporting logistics ...

New

BTree Solutions, Inc.

AI ENGINEER

Reston, VA · On-site

Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications. * Build and maintain AI pipelines, from data processing to model deployment. * Analyze ...

Dollar Tree

Applied AI Lead Developer

Chesapeake, VA · On-site

$132K/yr

... engineer who can lead a team of developers and can also builds new AI applications and software including agentic AI applications, analytical solutions and pilot new ideas from incubation to ...

Dollartree

Applied AI Lead Developer

Chesapeake, VA · On-site

$132K/yr

... engineer who can lead a team of developers and can also builds new AI applications and software including agentic AI applications, analytical solutions and pilot new ideas from incubation to ...

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Ai Applications Engineer information

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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What job categories do people searching Ai Applications Engineer jobs in Virginia look for?

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Cities in Virginia with the most Ai Applications Engineer job openings:

Ai Applications Engineer jobs near you

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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