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Llm Ai Jobs (NOW HIRING)

Horizon3.ai

Staff Attack Engineer, AI/LLM

Essential Functions Attacking AI/LLM Systems * Break AI and agentic systems and translate that research into automated, repeatable attack modules for NodeZero. * Design and execute prompt injection ...

acralending

AI Engineer

Irvine, CA · On-site

LLM & AI Engineering * Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs. * Build prompt orchestration, memory systems, and agent ...

acralending

AI Engineer

Irvine, CA · On-site

LLM & AI Engineering * Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs. * Build prompt orchestration, memory systems, and agent ...

Autonomize AI

ML/LLM Engineer - Applied AI

Austin, TX · On-site

Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. They are seeking a hands-on ML/LLM Engineer to build and optimize AI-native systems that blend structured and ...

Digital Links Inc

Java AI/LLM

Glen Lyn, VA · Remote

$52.25 - $67.50/hr

AI/LLM skill with * AI/LLM - hugging face model, OLAMA, LLAMA, Mistral * Agentic AI, Open AI, Gemini * Fine tuning of LLM * Lang chain, Lang flow, FAISS, vector database, Cosine similarity search.

Scalence L.L.C.

AI/LLM Engineer

Manhattan, NY · On-site

C. is seeking a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems. The role requires strong Python engineering expertise and hands-on experience with modern agent ...

Siemens Healthineers

AI LLM Engineer

Atlanta, GA · On-site +1

AI / LLM Engineering & Agentic Systems * Design, build, and deploy LLM powered applications using architectures such as Retrieval Augmented Generation (RAG), tool augmented agents, and multi agent ...

Acra Lending

AI Engineer

Irvine, CA · On-site

$140K - $160K/yr

LLM & AI Engineering * Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs. * Build prompt orchestration, memory systems, and agent ...

Technology Navigators

MTS DevOps Engineer[On-Site]

Manor, TX · On-site

$56.75 - $78/hr

You'll also help keep LLM/AI workloads reliable, observable, secure, and cost-aware in real production environments. Ideal for engineers who've shipped real systems, enjoy debugging complex infra ...

Mercor

Retail SME - AI Evaluation Expert

New York, NY · Remote

$60 - $80/hr

Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria. * Demonstrable career progression (e.g., Category Manager → Senior Manager → Director of ...

Propio

AI Engineer II

Overland Park, KS · On-site

$94K - $129K/yr

Collaborate with the LLM AI Engineer to integrate large language models into translation pipelines and compare approaches for different language pairs. * Develop post-editing and quality assurance ...

Mercor

Finance Expert - AI Model Evaluator

New York, NY · Remote

$65 - $90/hr

Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria. * Demonstrable career progression (e.g., Analyst → Associate → VP/Director). * Ability to ...

Apptad, Inc.

CloudOps Lead Engineer

Plano, TX · On-site

$50 - $52/hr

LLM & AI Enablement * Apply Large Language Models (LLMs) in cloud operations use cases such as automation, observability, diagnostics, or operational intelligence. * Stay current with advancements in ...

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How much do llm ai jobs pay per year?

As of Sep 3, 2026, the average yearly pay for llm ai in the United States is $63,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $69,500.00 per year, depending on experience, location, and employer.

What is an LLM AI?

An LLM AI job involves working with large language models (LLMs) to develop, train, optimize, and integrate AI-powered applications. Responsibilities may include natural language processing (NLP), prompt engineering, fine-tuning models, and ensuring ethical AI usage. These roles are common in AI research, software development, and data science fields.

What does an LLM AI do?

A typical day for someone in an LLM AI position involves designing, training, and evaluating large language models, collaborating with data scientists and software engineers, and reviewing system outputs for quality and accuracy. Professionals often attend team meetings to discuss project milestones, research new advancements, and troubleshoot model performance issues. The role tends to be highly collaborative, requiring frequent knowledge-sharing and coordination with other AI specialists, product managers, and, in some cases, external stakeholders. Staying up-to-date with the latest advancements in natural language processing and AI is an essential part of the job, ensuring that models remain state-of-the-art and impactful.

What are the key skills and qualifications needed to thrive in the LLM AI position?

To excel in an LLM AI (Large Language Model AI) role, candidates generally need a strong background in computer science, machine learning, and natural language processing, often supported by advanced degrees and experience with AI research or engineering. Familiarity with tools like Python, TensorFlow, PyTorch, and cloud computing platforms, as well as certifications in AI or data science, is highly valued. Excellent problem-solving, collaboration, and communication skills set standout professionals apart, enabling them to work effectively on cross-disciplinary teams. These skills and qualifications are crucial for developing, fine-tuning, and deploying cutting-edge language models that drive real-world AI applications.

What jobs can I do with Llm Ai?

Jobs involving LLM AI include roles such as AI researcher, machine learning engineer, data scientist, NLP specialist, and AI product developer. These positions typically require skills in programming, data analysis, and understanding of AI models, and may involve tasks like developing AI applications, fine-tuning models, or implementing AI solutions in various industries.

Which Llm Ai is most in demand?

The most in-demand LLM AI roles typically involve expertise in natural language processing, machine learning, and deep learning frameworks such as TensorFlow or PyTorch. Skills in model fine-tuning, data management, and familiarity with popular models like GPT, BERT, or RoBERTa are highly sought after by employers across industries including tech, healthcare, and finance.
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Llm Ai jobs near you
Infographic showing various Llm Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $63,311 per year, or $30.4 per hour.

Staff Attack Engineer, AI/LLM

Horizon3.ai

Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 25 days ago

Job description

Get to Know Us
Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs.
We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, "checkbox" security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.
Summary
We are hiring a Staff Attack Engineer specializing in AI/LLM security to join our team. You will break AI and agentic systems and turn that research into automated attacks inside NodeZero, our autonomous pentesting platform.
This is not consulting or manual pentesting; the goal is to build repeatable, scalable attack patterns that run autonomously across customer environments. You'll also help drive our LLM-powered offensive capabilities and act as a technical leader for AI/LLM offense.
Essential Functions
Attacking AI/LLM Systems
  • Break AI and agentic systems and translate that research into automated, repeatable attack modules for NodeZero.
  • Design and execute prompt injection and defense evasion attacks, focusing on generalized, reusable patterns.
  • Conduct tool-use exploitation, abusing LLM agents' access to code, file systems, APIs, and databases for attacker-realistic outcomes (e.g., context poisoning, RCE, data exfiltration, privilege escalation).
  • Target AI infrastructure (model serving, training pipelines, vector databases, GPU/MLOps tooling) with an understanding of real-world enterprise deployments and misconfigurations.
  • Research and apply model and supply chain attacks (poisoning, training data extraction, adversarial inputs, deployment pipeline abuse).
  • Perform threat modeling for agentic systems, mapping trust boundaries and attack surfaces and turning them into concrete attack paths.
  • Apply a strong productization mindset, turning manual techniques into safe, reliable, and scalable automated tooling.
Building with LLMs
  • Build and extend LLM-powered applications (prompting, structured output, agentic workflows).
  • Design with production concerns in mind: cost, safety and hallucination guardrails, reliability, and observability.
  • Design and extend microservices that orchestrate LLM tasks and integrate with NodeZero and related offensive workflows.

Competencies / Requirements
  • Expert-level Python and software engineering skills.
  • Solid penetration testing fundamentals and understanding of common attack chains.
  • Familiarity with AI/LLM security frameworks (e.g., OWASP Top 10 for LLMs, MITRE ATLAS).
  • Experience in a security product or offensive security team, ideally with shipped offensive capabilities or tooling.
  • Proven ability to break AI/LLM and agentic systems.
  • Clear understanding of trust boundaries around AI tools, data sources, and permissions, and how to systematically test and exploit them.
  • Expert-level ownership - drives high-complexity, high-risk programs and sets strategy, not just execution.
  • Self-motivated - identifies problems and builds solutions proactively.
  • Industry obsessed - tracks the fast-moving AI security landscape and can speak to recent developments, new attacks, and where the field is heading.

Nice-to-Have
  • Experience with other cloud AI services (e.g., Azure OpenAI, GCP Vertex AI).
  • Contributions to AI security research (blog posts, conference talks, CVEs, open-source tools).
  • Experience with AWS Bedrock and AWS Agent Core.
  • Familiarity with graph databases (e.g., Neo4j).
  • Background in traditional exploit development or vulnerability research.
  • CTF experience, particularly in AI/ML-focused challenge categories.

Perks of Horizon3
  • Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.
  • Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.
  • Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.
  • Remote Work: We are a 100% remote company. Enjoy the convenience and work-life balance that comes with remote work.
  • Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision & dental insurance for you and your family, a flexible vacation policy, and generous parental leave.

Compensation and Values
At Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.
In accordance with various State's transparency regulations, we provide the following salary range information for this position:
  • Base salary range: $223,000 - $275,000 annually. The exact salary will be determined based on the selected candidate's location, qualifications, experience, and relevant skills.
  • Additional compensation: All full-time roles are eligible for an equity package in the form of stock options.

You Belong Here
Horizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, or any other legally protected status by law.
Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.
We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice.

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