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Python Llm Jobs in Leesburg, VA (NOW HIRING)

AnaVation

AI Security & LLM Engineer

Reston, VA · On-site

The AI Security & LLM Engineer will design, secure, and optimize our next-generation generative AI ... Rust or Python (at least one required) Required Qualifications: * Clearance : Active TS/SCI ...

AnaVation

AI Security & LLM Engineer

Reston, VA

The AI Security & LLM Engineer will design, secure, and optimize our next-generation generative AI ... Rust or Python (at least one required) Required Qualifications: * Clearance : Active TS/SCI ...

Nava

AI Security & LLM Engineer

Reston, VA · On-site

$170 - $250/hr

Description of Task to be Performed The AI Security & LLM Engineer will design, secure, and ... Rust or Python (at least one required) Required Qualifications * Clearance : Active TS/SCI ...

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How much do python llm jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for 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 is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

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Python Llm jobs near you

AI Security & LLM Engineer

AnaVation

Reston, VA • On-site

Full-time

Posted 14 days ago

Job description

Be Challenged and Make a Difference 
 
In a world of technology, people make the difference. We believe if we invest in great people, then great things will happen. At AnaVation, we provide unmatched value to our customers and employees through innovative solutions and an engaging culture. 

Description of Task to be Performed: 

The AI Security & LLM Engineer will design, secure, and optimize our next-generation generative AI infrastructure. In this role, you will bridge the gap between advanced AI capabilities and rigorous cybersecurity practices. You will build resilient multi-agent systems while actively defending against emerging vulnerabilities like prompt injection, data exfiltration, and model manipulation.

Core Responsibilities:  

  • System Architecture: Design and deploy robust multi-agent orchestration frameworks and Retrieval-Augmented Generation (RAG) pipelines.
  • Adversarial Defense: Develop, implement, and maintain advanced input/output guardrails to neutralize prompt injection and adversarial attacks.
  • Red Teaming: Conduct continuous LLM red teaming and simulations to identify system vulnerabilities and structural weaknesses.
  • Performance Optimization: Manage token usage, reduce latency, and engineer efficient API rate limit management strategies.
  • Secure Development: Write clean, secure, and production-grade code to integrate frontier models into enterprise applications.

Primary Languages & Technical Stack

  • Rust or Python (at least one required)
Required Qualifications:
  • Clearance: Active TS/SCI Clearance with CI Polygraph 
  • Education & Years of Experience: Bachelor’s degree and 8 years of experience related to specific functional area.  
  • Certifications: Active certifications for both IAT Level II (e.g. CompTIA Security+) and Cyber Security Service Provider (CSSP) Infrastructure Support (e.g. CompTIA Cloud+) by program onboarding date. 
  • The following individual certifications cover both certification requirements for this program: CompTIA Cybersecurity Analyst, CySA+; EC-Council Certified Network Defender (CND); GlAC Global Industrial Cyber Security Professional, GICSP; (ISC)2 System Security Certified Practitioner (SCCP). 
  • Hands-on experience and knowledge with the following: 
    • AI Architecture: Proven experience with multi-agent orchestration tools and production-grade RAG pipelines.
    • AI Security: Deep understanding of OWASP Top 10 for LLMs, prompt injection defense, and guardrail frameworks.
    • Infrastructure Management: Experience handling token optimization, context window constraints, and API throttling.
Preferred Qualifications:
  • Frontier Model Expertise: Hands-on experience deploying commercial frontier models (e.g., ChatGPT, Grok, Claude).
  • AI Developer Tools: Experience utilizing advanced AI-assisted development workflows such as Claude Code or Codex.
  • Security Testing: Background in traditional penetration testing, vulnerability assessment, or cryptographic concepts.
Benefits 
  •         Generous cost sharing for medical insurance for the employee and dependents 
  •         100% company paid dental insurance for employees and dependents 
  •         100% company paid long-term and short-term disability insurance 
  •         100% company paid vision insurance for employees and dependents 
  •         401k plan with generous match and 100% immediate vesting 
  •         Competitive Pay 
  •         Generous paid leave and holiday package 
  •         Tuition and training reimbursement 
  •         Life and AD&D Insurance
About AnaVation 
AnaVation is the leader in solving the most complex technical challenges for collection and processing in the U.S. Federal Intelligence Community. We are a US owned company headquartered in Chantilly, Virginia. We deliver groundbreaking research with advanced software and systems engineering that provides an information advantage to contribute to the mission and operational success of our customers. We offer complex challenges, a top-notch work environment, and a world-class, collaborative team.  
 
If you want to grow your career and make a difference while doing it, AnaVation is the perfect fit for you! 
 
AnaVation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.