ZipRecruiter

Log In

2

Remote Python Llm Jobs in Oakton, VA (NOW HIRING)

Eliassen Group

ETL Data Engineer

Tysons, VA · Remote

$70 - $88/hr

Description: Hybrid 3 days onsite / 2 days remote in Mclean, VA Our client seeks an ETL Data ... The role spans Spark-based ETL on AWS data lake platforms and development of LLM-powered agents ...

previous pagenext page

Showing results 21-40

All JobsPython Llm JobsRemote Python Llm JobsRemote Python Llm Jobs in Oakton, VA

Remote Python Llm information

See Oakton, VA salary details

$13

$59

$87

How much do remote python llm jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote python llm in Oakton, VA is $59.43, according to ZipRecruiter salary data. Most workers in this role earn between $48.99 and $67.50 per hour, depending on experience, location, and employer.

What is a remote Python LLM?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.

What are some common collaboration methods used by remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.

What are the key skills and qualifications needed to thrive as a remote Python LLM engineer?

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.
What cities near Oakton, VA are hiring for Remote Python Llm jobs? Cities near Oakton, VA with the most Remote Python Llm job openings:
Remote Python Llm jobs near you
Infographic showing various Remote Python Llm job openings in Oakton, VA as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $123,609 per year, or $59.4 per hour.

AI Infrastructure Engineer

Bright Vision Technologies

Sterling, VA • Remote

$100K - $150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

AI Infrastructure 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 Infrastructure Engineer
Location: 100% Remote (United States)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
Job Summary
We are seeking an AI Performance Optimization Engineer to focus on extracting maximum throughput, minimizing latency, and reducing cost across training and inference workloads for large neural network systems. The role spans the full stack from low-level kernel optimization to distributed system tuning, requiring deep understanding of GPU architecture, model parallelism, memory management, and compiler-level optimization. The ideal candidate has demonstrated an impact on production of AI workloads, with strong instrumentation and measurement discipline that enables rigorous, data-driven optimization decisions. 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
  • Bachelor\'s or master\'s degree in computer science, Computer Engineering, or related field.
  • Six or more years of experience in performance engineering, ML systems, or HPC.
  • Strong proficiency in Python and C++.
  • Hands-on experience optimizing deep learning workloads on modern GPUs.
  • Deep understanding of distributed training and inference techniques.
  • Experience with profiling tools across CPU, GPU, and distributed systems.
  • Familiarity with model compression techniques and their accuracy implications.
  • Strong grasp of memory hierarchies, communication primitives, and parallelism strategies.
  • Excellent measurement, debugging, and analytical reasoning skills.
  • Strong communication and collaboration skills.
Preferred Qualifications
  • Experience optimizing LLM inference at production scale.
  • Contributions to vLLM, TensorRT-LLM, DeepSpeed, or similar projects.
  • Familiarity with custom kernel authoring in Triton or CUTLASS.
  • Experience with FinOps for AI workloads.
  • Publications or talks on AI systems performance.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to boon@bvteck.com or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com. 
 
Bright Vision Technologies is an Equal Opportunity Employer. 
 

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.

Apply