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Professional Llm Developer Jobs (NOW HIRING)

AnaVation LLC

AI Security & LLM Engineer

Reston, VA · On-site

GlAC Global Industrial Cyber Security Professional, GICSP; (ISC)2 System Security Certified ... AI Developer Tools: Experience utilizing advanced AI-assisted development workflows such as Claude ...

Public Storage

Generative AI/LLM Engineer

Frisco, TX · On-site

We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development ... of professional Python development experience (APIs, microservices, automation). * Proven ...

Public Storage

Generative AI/LLM Engineer

Frisco, TX · On-site

We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development ... of professional Python development experience (APIs, microservices, automation). * Proven ...

AnaVation

AI Security & LLM Engineer

Reston, VA · On-site

GlAC Global Industrial Cyber Security Professional, GICSP; (ISC)2 System Security Certified ... AI Developer Tools: Experience utilizing advanced AI-assisted development workflows such as Claude ...

Fiserv, Inc.

AWS Solutions Architect

Berkeley Heights, NJ · On-site

$67.50 - $88.75/hr

You will actively leverage modern Generative AI and Large Language Model (LLM) developer tools to ... AWS Certified Solutions Architect - Associate or Professional is highly preferred. Important ...

SpaceX

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

... of professional data engineering or software engineering experience (internship experience ... comparable LLM developer tooling is a plus • Experience with agent evaluation, guardrails ...

Whatnot

LLM Platform Engineer

San Francisco, CA · On-site

$245K - $345K/yr

Create robust and scalable LLM evaluation frameworks to measure model performance, guide iteration ... As our next AI/ML Engineer you should have 4+ years of professional experience developing machine ...

Whatnot

LLM Platform Engineer

San Francisco, CA · On-site

$245K - $345K/yr

Create robust and scalable LLM evaluation frameworks to measure model performance, guide iteration ... As our next AI/ML Engineer you should have 4+ years of professional experience developing machine ...

SpaceX

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

Professional experience supporting sales, sales ops, channel/reseller, or revenue operations ... comparable LLM developer tooling is a plus * Experience with agent evaluation, guardrails ...

Litera Corp

LLM Ops Engineer

Denver, CO · On-site

$105 - $130/hr

... of legal professionals worldwide. If you're energized by scale, real impact, and meaningful ... Create a consistent developer experience through unified APIs, self-service capabilities, tooling ...

Fiserv, Inc.

Senior DevOps Engineer

Alpharetta, GA

$110K - $186K/yr

... or LLM developer tools incorporating AI into daily operations * Bachelor's degree in computer ... Experience in Integration Engineering and/or Professional Services * Experience with SSO, HMAC ...

Fiserv, Inc.

Senior DevOps Engineer

Berkeley Heights, NJ · On-site

$110K - $186K/yr

... or LLM developer tools incorporating AI into daily operations * Bachelor's degree in computer ... Experience in Integration Engineering and/or Professional Services * Experience with SSO, HMAC ...

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Professional Llm Developer information

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How much do professional llm developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for professional llm developer in the United States is $50.17, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $60.82 per hour, depending on experience, location, and employer.

What is a professional LLM developer?

Professional LLM Developers are software engineers or specialists who design, build, and optimize applications and systems that leverage large language models (LLMs) like GPT-4, Claude, or similar AI models. Their work often involves integrating LLMs into products, fine-tuning models for specific tasks, ensuring safe and ethical AI use, and improving performance. They may also create tools and frameworks that facilitate the deployment and scaling of LLM-powered applications. Their expertise combines software development, machine learning, and natural language processing.

What are the key skills and qualifications needed to thrive as a professional LLM developer?

To thrive as a Professional LLM Developer, you need expertise in machine learning, natural language processing, and strong programming skills in languages like Python, often supported by a degree in computer science or related fields. Familiarity with deep learning frameworks (such as PyTorch or TensorFlow), experience with large language model architectures, and knowledge of cloud platforms are typically required, along with certifications like TensorFlow Developer or AWS Certified Machine Learning. Strong problem-solving abilities, teamwork, and effective communication distinguish top performers in this role. These skills ensure the development, fine-tuning, and deployment of robust LLM solutions that meet business and technical needs.

What are some common challenges faced by professional LLM developers when deploying large language models in production environments?

Professional LLM Developers often encounter challenges such as optimizing model performance to balance accuracy with computational efficiency, managing latency for real-time applications, and ensuring data privacy and security. Additionally, integrating LLMs with existing systems and maintaining model versioning can be complex. Collaboration with cross-functional teams, such as data engineers and product managers, is essential to address these challenges and ensure the successful deployment and ongoing maintenance of LLM-driven solutions.

What is the difference between Professional Llm Developer vs Machine Learning Engineer?

AspectProfessional Llm DeveloperMachine Learning Engineer
CredentialsTypically requires advanced degrees in AI, NLP, or related fields; certifications in AI/MLOften holds degrees in computer science, data science, or engineering; certifications in ML frameworks
Work EnvironmentFocuses on developing and fine-tuning large language models, often in research or specialized AI teamsDesigns, builds, and deploys ML models across various applications, in industry or tech companies
Industry UsagePrimarily in AI research, NLP, and companies developing LLM-based productsUsed across tech, finance, healthcare, and other sectors for predictive modeling and automation

While both roles involve AI and machine learning, a Professional Llm Developer specializes in large language models and NLP, whereas a Machine Learning Engineer works on a broader range of ML applications and models across industries.

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Infographic showing various Professional Llm Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $104,344 per year, or $50.2 per hour.

AI Security & LLM Engineer

AnaVation LLC

Reston, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

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 willdesign, 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.

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