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Llm Engineer Jobs (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 infrastructure. In this role, you will bridge the gap between advanced AI capabilities and rigorous ...

GPTZero

LLM Engineer (GenAI, NYC)

New York, NY · On-site

$150K - $230K/yr

Experience pushing the cutting-edge in LLM abilities on novel tasks with subjective outputs * Excellent software engineer with experience building highly extensible and modular codebases, as well as ...

AnaVation

AI Security & LLM Engineer

Reston, VA

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 ...

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 optimize our next-generation generative AI infrastructure. In this role, you will bridge the gap between ...

TMS

AI/ LLM Engineer- Next.js

Princeton, NJ · On-site

Role: Senior Full Stack Engineer - AI & Next.js Duration: Long Term Location: United States- Remote Role Summary We are looking for a Senior Full Stack Engineer with strong experience in AI/LLM ...

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 expertise to design, build, and deploy intelligent agents, Retrieval-Augmented Generation (RAG) systems ...

AnaVation

AI Security & LLM Engineer

Reston, VA · On-site

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 ...

Censys

Senior AI/LLM Engineer

$179K - $201K/yr

Prior knowledge in prompt engineering improving LLM accuracy, reasoning and consistency * Understanding secure and responsible AI practices, implementing guardrails and safety checks to prevent ...

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 expertise to design, build, and deploy intelligent agents, Retrieval-Augmented Generation (RAG) systems ...

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 expertise to design, build, and deploy intelligent agents, Retrieval-Augmented Generation (RAG) systems ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

Why USA Clinics Group? Founded by Harvard-trained physicians with a vision of offering patient-first care beyond the hospital settings, we've grown into the nation's largest network of outpatient ...

Ironflow AI

AI/LLM Integration Engineer

San Diego, CA

$110K - $148K/yr

As our AI/LLM engineer, you won't just write prompts -- you'll define how the system thinks. You'll architect the orchestration layer that enables streaming chat, multi-agent coordination, and ...

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All JobsLlm Engineer Jobs

LLM Engineer information

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$25

$53

$76

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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LLM Engineer jobs near you
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.

ML/LLM Engineer - Applied AI

Autonomize Inc

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 8 days ago

Job description

About Autonomize AI
Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. We reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters - improving lives. We're growing fast and looking for bold, driven teammates to join us.
The Opportunity
We're looking for a hands-on ML/LLM Engineer who's excited to ship real-world applications - not just benchmarks. You'll help us build and optimize AI-native systems that blend structured and unstructured data to power decisions in high-stakes domains. This is a mid to senior-level role for someone who's ready to go deep on applied ML problems - from retrieval to routing to generation - and ship solutions that deliver impact.
What you'll do
  • Own and optimize pipelines that combine classical ML and LLM-based systems (RAG, scoring, summarization, etc.)

  • Fine-tune and evaluate LLMs using both open-source and proprietary data

  • Collaborate with product and engineering teams to build real-world applications in healthcare and biopharma

  • Implement retrieval strategies, prompt chaining, and inference orchestration for production use cases

  • Monitor and improve model quality, latency, explainability, and safety

  • Stay ahead of the curve in LLM evaluation, tuning, and agent-based architectures

Qualifications
  • 3-6 years of experience in applied ML, with at least 1-2 years working with LLMs

  • Strong Python skills and familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain, LlamaIndex, etc.)

  • Comfort with embeddings, vector search, retrieval pipelines, and prompt tuning

  • Bias for experimentation, clarity, and pushing things into production - fast

  • Understanding of responsible AI practices, model evaluation, and observability

  • Experience in healthcare, compliance-sensitive data, or regulated environments

What we offer
  • A chance to make a real impact in the future of healthcare

  • Autonomy, ownership, and the ability to chart your own growth path

  • Competitive compensation and benefits

  • 100% employer-paid health, vision, and dental insurance

  • Retirement plans (401k), disability insurance, employee assistance programs

How to Apply
Please submit your resume and a brief cover letter to careers@autonomize.ai explaining why you are the ideal candidate for this role. We are excited to meet someone who is eager to bring their skills, enthusiasm, and creativity to our team!

Apply