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Remote Python Llm Jobs in Washington, DC (NOW HIRING)

10a Labs

Junior Cyber Investigator

Washington, DC · Remote

$80K - $105K/yr

... remote exploits, or offensive security operations * Familiarity with LLM systems and how AI ... Strong SQL and Python proficiency for querying data and supporting investigations * Ability to ...

Strategic Education, Inc.

Data Scientist II

Herndon, VA · On-site +1

This role builds and deploys predictive and LLM-based models using modern tools (CI/CD, Airflow ... Strong proficiency in SQL and Python, or R. * Hands-on experience developing and deploying machine ...

Knak Digital

Full Stack Engineer

Washington, DC · On-site +1

$120/hr

An established strategy consulting firm is looking for a remote full stack engineer to join the ... Strong backend engineering in Java, Node.js, or Python, with the ability to design APIs and domain ...

Goldman Edwards, Inc.

Be Seen First

AI Foundry Engineer (Remote)

Washington, DC · Remote

... Python, NodeJS, Rust § Minimum of 5 years in-depth, hands-on experience with one or more cloud ... testing AI and LLM's using tools to evaluate accuracy, bias, and reliability of AI tools and ...

10a Labs

Senior Cyber Investigator

Washington, DC · Remote

$114K - $140K/yr

Query internal data sources using SQL and Python and cross-reference open-source information (OSINT ... Familiarity with LLM systems and how AI technology can be misused for cyber operations, including ...

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How much do remote python llm jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for remote python llm in Washington, DC is $66.39, according to ZipRecruiter salary data. Most workers in this role earn between $54.71 and $75.43 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 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 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 popular job titles related to Remote Python Llm jobs in Washington, DC?

For Remote Python Llm jobs in Washington, DC, the most frequently searched job titles are:

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The top searched job categories for Remote Python Llm jobs in Washington, DC are:

Remote Python Llm jobs near you

Machine Learning Engineer with SageMaker Experience

Ashburn, VA • On-site, Remote

Maxiom Technology
IT Services • 11 - 50 employees
Learn more about Maxiom Technologyexternal

Full-time

Re-posted 9 days ago

Job description

Are you a passionate Machine Learning Engineer with a strong background in SageMaker, prompt engineering, and LLM (Large Language Model) model tuning? Do you thrive in a dynamic and innovative environment, eager to push the boundaries of AI capabilities? If so, we invite you to join our team as we revolutionize the world of AI-driven applications.

Position: Machine Learning Engineer
Location: Remote

Preferred Resource Location: LATAM

About Us:
Maxiom Technology is a cutting-edge technology company at the forefront of AI-driven solutions. We specialize in developing intelligent applications that leverage the power of machine learning and natural language processing. Our team consists of talented individuals who are dedicated to creating groundbreaking solutions that transform industries.

Responsibilities:

- Collaborate with cross-functional teams to design, develop, and deploy machine learning models using Amazon SageMaker.
- Utilize your expertise in prompt engineering to craft effective inputs for LLM models to achieve desired outputs.
- Fine-tune and optimize LLM models to enhance performance, efficiency, and accuracy.
- Design and implement experiments to evaluate model performance, iteratively improving results.
- Stay up-to-date with the latest advancements in machine learning, particularly in the realm of LLM models and prompt engineering techniques.
- Identify and troubleshoot issues related to model performance, data quality, and integration.
- Contribute to the entire machine learning lifecycle, from data preprocessing and training to deployment and monitoring.
- Collaborate with software engineers to integrate machine learning solutions into our applications.
- Document your work, best practices, and findings to share knowledge across the team.

Qualifications:

- Bachelor's degree in Computer Science, Engineering, or a related field (Master's or PhD preferred).
- Proven experience in developing and deploying machine learning models using Amazon SageMaker.
- Strong background in prompt engineering techniques for fine-tuning LLM models.
- Proficiency in programming languages such as Python for model development and experimentation.
- Solid understanding of natural language processing concepts and techniques.
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and their integration with SageMaker.
- Experience with data preprocessing, feature engineering, and data augmentation.
- Problem-solving skills to diagnose and address model performance and data-related issues.
- Excellent communication skills to collaborate effectively within multidisciplinary teams.
- Ability to adapt to evolving technologies and learn quickly in a fast-paced environment.

Bonus Skills:

- Publications or contributions to the machine learning community.
- Experience with cloud services (AWS, Azure, Google Cloud) and containerization technologies.
- Knowledge of DevOps practices for model deployment and monitoring.

Why Join Us:

- Opportunity to work on cutting-edge projects that push the boundaries of AI technology.
- Collaborative and inclusive work environment that values innovation and creativity.
- Access to resources and support for continuous learning and professional growth.
- Competitive compensation package and benefits.
 

If you are an ambitious Machine Learning Engineer with a proven track record in SageMaker, prompt engineering, and LLM model tuning, we would love to hear from you. Join us in our mission to create groundbreaking AI solutions that shape the future. Apply now by sending your resume and a cover letter.

Maxiom Technology is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.