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Director Llm Engineer Jobs in Virginia (NOW HIRING)

... LLM-based agents using frameworks such as LangChain (or equivalent) Develop scalable backend ... Direct experience with Azure AI Foundry and Copilot Studio Experience integrating AI agents into ...

Familiarity with Okta or SailPoint ISC is a direct advantage on our engagements. Requirements * 4+ years of software engineering experience with at least 2 years building and shipping LLM-powered or ...

Familiarity with Okta or SailPoint ISC is a direct advantage on our engagements. Requirements * 4+ years of software engineering experience with at least 2 years building and shipping LLM-powered or ...

Lead Agentic AI Engineer

Mclean, VA · On-site

$140 - $210/hr

Identify skill gaps, give direct performance feedback, and build pathways for growth as AI tooling ... Track developments in agentic AI tooling, LLM capabilities, and enterprise AI platforms. Assess ...

AI Systems Engineer

Chantilly, VA · On-site

$152K - $190K/yr

... and directing successful prototypes into robust, production-ready enterprise tools ... Strategic LLM Initiatives: Help shape and define the AI/ML roadmap for the Government customer ...

AI Systems Engineer

Chantilly, VA · On-site

$152K - $190K/yr

... and directing successful prototypes into robust, production-ready enterprise tools ... Strategic LLM Initiatives: Help shape and define the AI/ML roadmap for the Government customer ...

Senior AI Platform Engineer

Arlington, VA · On-site

$120K - $165K/yr

This new position will be based in our Arlington, VA headquarters and report to the Director of AI ... Experience with LLM serving frameworks such as vLLM, TGI, TensorRT-LLM, or similar. * Experience ...

Senior AI Platform Engineer

Arlington, VA · On-site

$120K - $165K/yr

This new position will be based in our Arlington, VA headquarters and report to the Director of AI ... Experience with LLM serving frameworks such as vLLM, TGI, TensorRT-LLM, or similar. * Experience ...

... Director & Summary At PwC, our people in data and analytics engineering focus on leveraging ... LLM outputs - Developing scalable data storage solutions using cloud services - Designing and ...

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Director Llm Engineer information

What is the difference between Director Llm Engineer vs Machine Learning Engineer?

AspectDirector Llm EngineerMachine Learning Engineer
CredentialsAdvanced degrees in CS, AI, or related fields; extensive experience in NLP and LLMsBachelor's or Master's in CS, AI, or related fields; strong programming skills
Work EnvironmentLeadership roles overseeing teams, strategic planning, and project management in AI/ML projectsHands-on development, model training, and algorithm implementation in AI/ML projects
Industry UsageUsed in organizations with large AI teams, focusing on LLM strategy and architectureCommon across tech companies, startups, and research labs for developing ML models

The main difference is that a Director Llm Engineer focuses on leading AI teams and strategic oversight of LLM projects, while a Machine Learning Engineer is more involved in the technical development and implementation of ML models. Both roles require strong technical skills, but the Director Llm Engineer emphasizes leadership and vision in the AI domain.

What are the most commonly searched types of Llm Engineer jobs in Virginia?

The most popular types of Llm Engineer jobs in Virginia are:

What are popular job titles related to Director Llm Engineer jobs in Virginia?

For Director Llm Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Director Llm Engineer jobs in Virginia look for?

The top searched job categories for Director Llm Engineer jobs in Virginia are:

What cities in Virginia are hiring for Director Llm Engineer jobs?

Cities in Virginia with the most Director Llm Engineer job openings:

AI Applications Engineer

Bright Vision Technologies

Reston, VA • On-site

$100 - $175/hr

Other

Posted 10 days ago


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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