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Llm Developer Jobs in Washington, DC (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 ... AI Developer Tools: Experience utilizing advanced AI-assisted development workflows such as Claude ...

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 ... AI Developer Tools: Experience utilizing advanced AI-assisted development workflows such as Claude ...

AnaVation

AI Security & LLM Engineer

Reston, VA · On-site

The AI Security & LLM Engineer willdesign, secure, and optimize our next-generation generative AI ... AI Developer Tools: Experience utilizing advanced AI-assisted development workflows such as Claude ...

AnaVation

AI Security & LLM Engineer

Reston, VA · On-site

The AI Security & LLM Engineer will design, secure, and optimize our next-generation generative AI ... AI Developer Tools: Experience utilizing advanced AI-assisted development workflows such as Claude ...

PenFed Credit Union

LLM Specialist

Mclean, VA · On-site

$16.50 - $21.75/hr

The LLM Specialist serves as PenFed's subject matter expert for Large Language Models (LLMs ... Collaborate with AI Engineers and solution teams to ensure effective deployment and adoption of AI ...

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Llm Developer information

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$28

$56

$90

How much do llm developer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for llm developer in Washington, DC is $56.82, according to ZipRecruiter salary data. Most workers in this role earn between $44.66 and $68.89 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a Llm developer?

A Large Language Model (LLM) developer designs, trains, and fine-tunes large-scale AI models for natural language processing tasks. They work with machine learning frameworks, handle large datasets, and optimize models for performance and accuracy, often requiring knowledge of programming languages like Python and tools such as TensorFlow or PyTorch.

What are the most commonly searched types of Llm Developer jobs in Washington, DC?

The most popular types of Llm Developer jobs in Washington, DC are:

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For Llm Developer jobs in Washington, DC, the most frequently searched job titles are:

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The top searched job categories for Llm Developer jobs in Washington, DC are:

Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Washington, DC as of August 2026, with employment types broken down into 80% Full Time, 5% Part Time, and 15% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $118,180 per year, or $56.8 per hour.

4460 AI & LLM Engineer with Security Clearance

Procession Systems

Reston, VA • On-site

Other

Posted 18 days ago

Job description

OVERVIEW: 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. GENERAL DUTIES: * 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: * Bachelor's degree and 8 years of experience related to specific functional areas. * 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). * 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. DESIRED 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. CLEARANCE: * Active minimum Top Secret clearance required
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About Procession Systems

Sourced by ZipRecruiter

Procession Systems, based in Reston, Virginia, United States, is an industry leader operating in the Information Technology Services sector. Established to address complex business and technology challenges, the company delivers innovative tech solutions for government entities, primarily focusing on systems integration and software development. Procession Systems takes pride in their commitment to quality, responsiveness, and results, geared towards improving public sector services and saving taxpayer dollars.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Reston, VA, US

Year founded

2016

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