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Remote Python Llm Jobs in Washington (NOW HIRING)

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 ...

New

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 ...

New

HiddenLayer

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 ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245425 Location: Chantilly,VA,US Share job via: Share AI/ML Engineer ... You will design and implement solutions that may include LLM-powered workflows, agent-based ...

Moore

Lead Agentic AI Engineer - Remote US

Lanham, MD · Remote

$165K - $175K/yr

Deep Python chops. Comfortable across the modern AI stack: LLM APIs, retrieval systems, vector ... Remote (US). Occasional travel for team offsites and customer visits. How We'll Support You:

10a Labs

Principal Cyber Investigator

Washington, DC · On-site +1

$150K - $180K/yr

... remote exploits, or offensive security operations * Familiarity with LLM systems and how AI ... Strong SQL, Python, and other data language proficiency for querying data and validating ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... Familiarity with LLM, Gen AI frameworks using AWS Bedrock, Azure OpenAI or open source platforms ...

System One

GenAI Data Automation Engineer

Washington, DC · Remote

$48.95/hr

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... Familiarity with LLM, Gen AI frameworks using AWS Bedrock, Azure OpenAI or open source platforms ...

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Remote Python Llm information

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 are popular job titles related to Remote Python Llm jobs in Washington? For Remote Python Llm jobs in Washington, the most frequently searched job titles are:
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What cities in Washington are hiring for Remote Python Llm jobs? Cities in Washington with the most Remote Python Llm job openings:
Remote Python Llm jobs near you

Senior Cyber AI Operations Engineer

System One

Washington, DC • Remote

Contractor

Re-posted 13 days ago

Job description

Cyber Artificial Intelligence Operations Engineer 100% ONSITE in Washington DC Per Federal contract U.S. Citizenship is required Must be able to pass enhanced background screen (criminal, financial, drug) for Public Trust clearance Long Term Multi-Year Contract W-2 or C2C Application deadline: 7/10/2026 We are seeking a Cyber Artificial Intelligence Operations Engineer with experience implementing artificial intelligence (AI) solutions for cybersecurity purposes. The ideal candidate will have experience working with a variety of AI technologies and models and will have exceptional working knowledge on the architecture and design requirements to implement AI solutions that support cybersecurity operations (e.g., intrusion detection, intrusion prevention, incident response, vulnerability analysis, security tests and evaluations, etc.). This position will require the successful candidate to work as part of a fusion team that includes cybersecurity practitioners to develop and deliver AI-enabled cybersecurity tools and capabilities. Key Responsibilities: • Participate in the delivery of cyber-AI solutions as part of an integrated team that includes traditional AI engineers, AI operators, and cybersecurity subject matter experts all working together to deliver AI-enhanced cybersecurity capabilities. • Design, implement, deploy, maintain, and evolve AI-enhanced cybersecurity solutions that support a broad range of functions including intrusion detection, intrusion prevention, incident response, insider risk, vulnerability analysis, threat hunting, cyber threat intelligence, and security test and evaluation activities. • Instrument AI systems for cybersecurity activities with observability and controllability. • Monitor the performance of AI systems designed for cybersecurity purposes and ensure effectiveness. • Analyze, fine-tune and optimize the performance of the AI systems that are designed to support cybersecurity purposes and mission needs • Develop analytic products and reports that demonstrate the effectiveness of AI-enabled cybersecurity capabilities to include metrics and technical reports. Required Qualifications: • 5+ years of experience in AI, data science, software engineering, with knowledge of data structures that support AI and cybersecurity practices • 2+ years of experience in a security, information security, or cybersecurity field that involves the defense of technical systems • Proficiency with AI infrastructure components, automation tools, and scripting languages such as Python, Bash • Familiarity with one or more of the AI frameworks and tools such as AWS Bedrock and Sagemaker, Transformer, TensorFlow, PyTorch, and Langchain/Llamaindex • Familiarity with open source LLM models, such Llama, Mistral • Experience in fine-tuning LLM models • Knowledge of AI design patterns • Bachelor’s degree in Computer Science, Information Systems, or other related field is required or related work experience Preferred Qualifications: • Hands-on experience with DevSecOps and CI/CD practices • Experience in AWS cloud architecture design and operation • Experience in Terraform, Dockers Kubernetes, and/or Gitlab • Demonstrated effective change champion and ability to work effectively with others (including remote employees) to deliver complex, critical strategic IT initiatives • Experience operating in government environments that follow NIST, FISMA, FedRAMP, and OMB guidance. • Strong problem-solving and analytical skills • Excellent communication and documentation skills #M1 #LI-VH1 Ref: #851-Rockville-S1