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

Anika Systems

AI Engineer

Leesburg, VA · Remote

This position is currently remote; however, in accordance with federal contract requirements and ... LLM based or Generative AI solutions. * Strong production experience in Python and TypeScript ...

micro1 AI

AI Systems Engineer - Defense

Reston, VA · On-site +1

$40 - $60/hr

Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG ... Strong Python engineer with end-to-end ownership experience. * Experience with LLMs and creating ...

micro1 AI

Lead AI Engineer, Forward Deployed

Reston, VA · On-site +1

$40 - $60/hr

Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG ... Strong Python engineer with end-to-end ownership experience. * Experience with LLMs and creating ...

micro1 AI

Lead AI Engineer, Forward Deployed

Mclean, VA · On-site +1

$40 - $60/hr

Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG ... Strong Python engineer with end-to-end ownership experience. * Experience with LLMs and creating ...

micro1 AI

Lead AI Engineer, Forward Deployed

Ashburn, VA · On-site +1

$40 - $60/hr

Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG ... Strong Python engineer with end-to-end ownership experience. * Experience with LLMs and creating ...

micro1 AI

AI Systems Engineer - Defense

Germantown, MD · On-site +1

$40 - $60/hr

Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG ... Strong Python engineer with end-to-end ownership experience. * Experience with LLMs and creating ...

micro1 AI

AI Systems Engineer - Defense

Mclean, VA · On-site +1

$40 - $60/hr

Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG ... Strong Python engineer with end-to-end ownership experience. * Experience with LLMs and creating ...

micro1 AI

AI Systems Engineer - Defense

Ashburn, VA · On-site +1

$40 - $60/hr

Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG ... Strong Python engineer with end-to-end ownership experience. * Experience with LLMs and creating ...

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All JobsRemote Python Llm JobsRemote Python Llm Jobs in Leesburg, VA

Remote Python Llm information

See Leesburg, VA salary details

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$87

How much do remote python llm jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for remote python llm in Leesburg, VA is $59.29, according to ZipRecruiter salary data. Most workers in this role earn between $48.89 and $67.36 per hour, depending on experience, location, and employer.

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 Leesburg, VA look for? The top searched job categories for Remote Python Llm jobs in Leesburg, VA are:
What cities near Leesburg, VA are hiring for Remote Python Llm jobs? Cities near Leesburg, VA with the most Remote Python Llm job openings:
Remote Python Llm jobs near you
AI Engineer

AI Engineer

Anika Systems

Leesburg, VA • Remote

Full-time

Posted 5 days ago

Job description

Anika Systems is an outcome-driven technology solutions firm that guides federal agencies in solving complex business challenges and preparing for the future. Our services span AI Strategy, Data Intelligence, AI & Machine Learning, Intelligent Automation, Enterprise Platforms and Engineering, with a specialized focus on National Security and Federal Financial programs. We are dedicated to delivering forward-thinking solutions that accelerate the critical missions of our government clients. Through our VITAL Innovation Lab, we invest heavily in research and development to anticipate mission needs and deliver cutting edge solutions. 
This position is currently remote; however, in accordance with federal contract requirements and company policy, there may be future changes to work location expectations. Candidates should be prepared for the possibility of a return to the office, either partially or fully, based on client directives, contractual obligations, or company policies. Any such changes will be communicated in advance.
Must be a U.S. Citizen with the ability to obtain and maintain a government suitability clearance.
The AI Engineers will design and deliver production AI systems across our commercial platform
work and our federal modernization programs. This is a hands-on builder role on a small, senior team. Engineers
own work end-to-end including data, model integration, services, UI, infrastructure, security, and deployment.  You will be expected to make sound technical calls under federal compliance, security, and procurement constraints.
Requirements:
  • Education: Bachelor’s Degree in Computer Science, Computer Engineering, Data Science, Computational Linguistics, or a related field; Master’s is a bonus. 
  • Experience: 1-3 years of professional experience building and shipping ML or NLP systems, including focus on LLM based or Generative AI solutions. 
  • Strong production experience in Python and TypeScript, with modern web frameworks on both sides (e.g. FastAPI, React).
  • Hands-on integration of LLMs into real applications — streaming, tool / function calling, token accounting, and failure handling — across at least one of OpenAI, Anthropic, Bedrock, Vertex, or Azure OpenAI.
  • Experience designing agentic systems: multi-step workflows, retrieval-augmented generation, evaluation, and human-in-the-loop guardrails.
  • Solid relational data modeling on PostgreSQL with an async ORM and migration tooling.
  • AWS fluency (compute, storage, IAM, secrets, networking, observability) and infrastructure-as-code, ideallyTerraform.
  • Practical understanding of OAuth / OIDC, JWT, RBAC, multi-tenant isolation, and least-privilege design.
  • Disciplined testing, linting, and type-checking habits; reviewable diffs and clear written communication.

Preferred Skills
  • Federal program exposure: NIST 800-53, FedRAMP, FISMA, ATO process, or agency-specific data-handling requirements.
  • Experience with Keycloak or another OIDC provider, RLS-based multi-tenancy, or zero-trust application design.
  • Working knowledge of a data/lakehouse platform (Databricks, Snowflake) and SQL beyond CRUD.
  • Document AI / OCR pipelines and modernization of legacy enterprise workflows.
  • Production observability (CloudWatch, OpenTelemetry, Grafana) and incident-response experience.
  • Supply-chain hardening: SBOMs, dependency scanning, signed builds, threat modeling.

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