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Llm Engineer Jobs (NOW HIRING)

LiteLLM AI Gateway

AI Engineer

San Francisco, CA · On-site

$200K - $250K/yr

Python, LLM APIs, FastAPI As the Backend LLM Engineer, you'll be responsible for ensuring LiteLLM unifies the format for calling LLM APIs in the broader OpenAI + Anthropic spec. This involves writing ...

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How much do llm engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for llm engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What does an LLM engineer do?

An LLM Engineer designs, develops, and optimizes applications that leverage large language models (LLMs). They fine-tune models, integrate them into products, and improve performance through prompt engineering and model customization. This role requires expertise in machine learning, natural language processing (NLP), and software development. LLM Engineers work closely with data scientists and developers to create AI-driven solutions for various applications such as chatbots, content generation, and code assistance.

How much do Llm engineers make?

Llm engineers typically earn between $100,000 and $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries, often exceeding $200,000 with bonuses and stock options.

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

To thrive as an LLM Engineer, you need strong expertise in machine learning, natural language processing, and proficiency with Python, along with a solid understanding of transformer-based models and deep learning frameworks like PyTorch or TensorFlow. Familiarity with cloud platforms, version control systems (e.g., Git), and tools such as Hugging Face Transformers is typically required, and certifications in AI or data science can be advantageous. Excellent problem-solving, collaboration, and communication skills help you work effectively with interdisciplinary teams and present complex findings clearly. These skills enable you to develop, fine-tune, and deploy large language models efficiently in real-world applications.

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Infographic showing various Llm Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $111,552 per year, or $53.6 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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