2

Remote Python Llm Jobs in Washington (NOW HIRING)

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 ...

Certain roles -- such as field-based sales or other remote-by-design positions -- may have ... Analyze large datasets using SQL, Python, or similar tools to identify trends, anomalies, and ...

Certain roles -- such as field-based sales or other remote-by-design positions -- may have ... Use SQL, Python, or similar tools to query datasets and support investigations * Leverage fraud ...

... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ... Design, develop, and maintain Python-based data processing pipelines and workflow orchestration ...

AI Solutions Architect- Federal

Washington, DC · Remote

$71.25 - $94/hr

... in Python and comfortable across the modern AI stack, including model formats and inference, LLM ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

next page

Showing results 1-20

Remote Python Llm information

What remote jobs can you get with Python?

Remote Python jobs include roles such as software developer, data analyst, machine learning engineer, and automation engineer. These positions often require proficiency in Python programming, familiarity with frameworks like Django or Flask, and experience with cloud platforms or version control tools. Many of these jobs offer flexible schedules and can be performed from any location with internet access.

Will AI replace Python devs?

Remote Python developers are unlikely to be fully replaced by AI, as their role involves complex problem-solving, coding, and adapting to new requirements that AI tools currently cannot fully replicate. AI can assist by automating repetitive tasks and improving productivity, but human oversight and expertise remain essential for software development. Staying updated with new tools and skills can help Python developers remain valuable in an evolving tech environment.

What is a Remote Python LLM job?

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.

Is Python used in LLM?

Yes, Python is widely used in developing large language models (LLMs) and is a key skill for remote Python LLM roles. It provides extensive libraries and frameworks such as TensorFlow and PyTorch that facilitate model training, fine-tuning, and deployment.

What are the key skills and qualifications needed to thrive as a Remote Python LLM Engineer, and why are they important?

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.

Which LLM is good for Python coding?

For a Remote Python Llm role, models like OpenAI's GPT-4 and GPT-3.4 are widely used for Python coding due to their strong language understanding and code generation capabilities. Additionally, open-source models such as Meta's Llama 2 and EleutherAI's GPT-NeoX can be fine-tuned for specific coding tasks, making them suitable options for development environments requiring customization. Proficiency in integrating these models with APIs and understanding their limitations is essential for effective Python coding assistance.
What job categories do people searching Remote Python Llm jobs in Washington look for? The top searched job categories for Remote Python Llm jobs in Washington are:
What cities in Washington are hiring for Remote Python Llm jobs? Cities in Washington with the most Remote Python Llm job openings:

Software Engineer - TS/SCI with Poly

Staffed4U

Annapolis Junction, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


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 DockerPodman, 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 administrationCLI, and shell scripting
  • Proficiency in Python and Golang
  • Familiarity with RAG pipelinesLLMs, 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 SparkDask, or Ray
  • Familiarity with SQLElasticsearch, 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/TRITONvLLM, 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.