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Remote Python Llm Jobs in College Park, MD (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 ...

TestPros

Senior AI Test Engineer (Remote)

Sterling, VA · Remote

Experience in Python NLTK or similar natural language processing technology. * Practical experience ... Experience evaluating or testing Artificial Intelligence (AI) Large Language Model (LLM)-based ...

TestPros

Senior AI Test Engineer (Remote)

Sterling, VA · On-site +1

$50 - $80/hr

Experience in Python NLTK or similar natural language processing technology. * Practical experience ... Experience evaluating or testing Artificial Intelligence (AI) Large Language Model (LLM)-based ...

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Remote Python Llm information

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How much do remote python llm jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote python llm in College Park, MD is $57.95, according to ZipRecruiter salary data. Most workers in this role earn between $47.74 and $65.82 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 job categories do people searching Remote Python Llm jobs in College Park, MD look for?

The top searched job categories for Remote Python Llm jobs in College Park, MD are:

What cities near College Park, MD are hiring for Remote Python Llm jobs?

Cities near College Park, MD with the most Remote Python Llm job openings:

Remote Python Llm jobs near you
Infographic showing various Remote Python Llm job openings in College Park, MD as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 6% Part Time, and 8% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $120,531 per year, or $57.9 per hour.

Software Engineer - TS/SCI with Poly

Staffed4U

Annapolis Junction, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Key responsibilities

  • Contribute to the development and deployment of secure RAG pipelines in an HPC Linux environment

  • Work with AI/ML technologies, including LLM orchestration frameworks, embedding models, and inference platforms

  • Develop and maintain services using Python and Golang

Job description

Software Engineer
$160k- $230k

Location: Annapolis Junction, MD
Clearance Required: TS/SCI with Polygraph
Experience Level: 7+ years of experience
Education: Bachelor's degree in Computer Science, Engineering, or related field
Position Summary:
We are seeking a skilled and mission-driven Software Engineer to support the ML Frameworks team. In this role, you will contribute to the design, development, and deployment of a Retrieval-Augmented Generation (RAG) solution within a high-performance computing (HPC) Linux environment. This position is ideal for someone with a strong Linux background and a passion for AI/ML technologies, especially Large Language Models (LLMs) and secure AI systems.
Primary Responsibilities:

  • Contribute to the development and deployment of secure RAG pipelines in an HPC Linux environment
  • Work with cutting-edge AI/ML technologies, including LLM orchestration frameworks, embedding models, and inference platforms
  • Develop and maintain services using Python and Golang
  • Build and manage containerized services using Docker, Podman, and containerd
  • Deploy services using orchestration tools like Kubernetes and Docker Compose
  • Automate and monitor workflows with CI/CD pipelines, using GitLab CI and version control with Git
  • Integrate monitoring tools such as Prometheus and Grafana for performance and reliability
  • Participate in system administration, including Linux CLI, shell scripting, and general support tasks
Required Qualifications:
  • Active TS/SCI clearance with Polygraph
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field
  • 7+ years of professional software engineering experience
  • Strong experience with Linux system administration, CLI, and shell scripting
  • Proficiency in Python and Golang
  • Familiarity with RAG pipelines, LLMs, and knowledge retrieval systems
  • Experience with containerization technologies and orchestration tools (Docker, PodMan, Kubernetes, Docker Compose)
  • Solid understanding of CI/CD principles and related tools (GitLab CI)
  • Experience with metrics and monitoring tools (e.g., Prometheus, Grafana)
  • Experience using Git for version control
Desired Skills & Technologies:
  • Experience with GPU-enabled applications and debugging tools
  • Familiarity with LLM orchestration frameworks and OpenAPI
  • Experience with distributed processing frameworks such as Spark, Dask, or Ray
  • Familiarity with SQL, Elasticsearch, and vector databases
  • Experience with HTMX or Hyperscript
  • Understanding of multi-node, multi-GPU AI training environments
  • Knowledge of AI inferencing platforms such as Nvidia NIM/TRITON, vLLM, or Ray-based deployment
  • Experience with the Atlassian suite (Confluence, Jira)

Our client offers a highly competitive and comprehensive benefits package designed to support your personal and professional growth, while promoting a healthy work-life balance. Benefits include:

  • 100% Employer-Paid Health, Dental, and Vision Insurance – Full coverage for employees

  • Zero Vesting 401(k) Plan with 10% Company Contribution – Immediate access to all contributions

  • 31 Days of Paid Time Off – Includes vacation, personal time, and all federal holidays

  • Student Loan Repayment Assistance – Helping you pay down your educational debt

  • Unlimited Certification & Training Support – Invest in your professional development

  • Flexible Work Environment – Remote work options and flexible scheduling available

  • Multiple Incentive Bonuses – Performance-based rewards throughout the year

  • Exclusive Company Memberships – Access to curated memberships and employee perks

This package reflects our client’s commitment to empowering their employees with meaningful benefits and recognizing outstanding performance.
 


We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.