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Llm Engineer Jobs (NOW HIRING)

E-Solutions

ML and ML Ops engineer

Wilmington, DE

ML and ML Ops engineer Delaware or New Jersey( Report to work) Hybrid We are looking for a talented ML / LLM Engineer with deep expertise in AWS technologies to join our innovative team. In this role ...

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 ...

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 ...

E-Solutions

ML and ML Ops engineer

Keyport, NJ

ML And ML Ops Engineer We are looking for a talented ML / LLM Engineer with deep expertise in AWS technologies to join our innovative team. In this role, you will design, develop, and deploy machine ...

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 ...

TriOptus LLC

Gen AI / LLM Engineer (AWS)

Reston, VA · On-site

Client is seeking a highly skilled and motivated AI/ML Engineer to join client's team and drive the development and optimization of AI solutions. * This role is ideal for someone who thrives at the ...

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How much do llm engineer jobs pay per hour?

As of Jun 8, 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.

What are the main responsibilities of an LLM Engineer on a typical project?

An LLM Engineer is typically responsible for designing, fine-tuning, and deploying large language models to solve specific business or research problems. You will collaborate closely with data scientists, product managers, and software engineers to understand requirements, select the appropriate model architectures, and integrate LLMs into production systems. Routine tasks may include data preprocessing, hyperparameter tuning, model evaluation, and monitoring model performance post-deployment. The role also often involves staying current with rapidly evolving NLP advancements to recommend and implement state-of-the-art solutions.

What are the key skills and qualifications needed to thrive in the Llm Engineer position, and why are they important?

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 May 2026, with employment types broken down into 1% As Needed, 92% Full Time, 1% Part Time, 3% Contract, and 3% Nights. Highlights an 76% Physical, 5% Hybrid, and 19% 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

Other

Medical, Dental, Vision, Retirement

Posted yesterday

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