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Professional Llm Developer Jobs (NOW HIRING)

Straive

LLM Engineer

San Francisco, CA · On-site +1

As an LLM Engineer at Straive, you will play a crucial role in designing, developing, and ... This position offers an exciting opportunity to work with a talented group of professionals in a ...

Autonomize Inc

ML/LLM Engineer - Applied AI

Austin, TX · On-site

We reduce administrative burdens and elevate outcomes, empowering professionals to focus on what ... The Opportunity We're looking for a hands-on ML/LLM Engineer who's excited to ship real-world ...

Gap International

AI/LLM Engineer

Philadelphia, PA

As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Opportunities for professional growth and development in a supportive and collaborative environment.

Gap International

AI/LLM Engineer

Springfield, PA

As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Opportunities for professional growth and development in a supportive and collaborative environment.

Gap International

AI/LLM Engineer

Springfield, PA · On-site

As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Opportunities for professional growth and development in a supportive and collaborative environment.

Whatnot

LLM Platform Engineer

San Francisco, CA · On-site

$200K - $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 ...

E-Solutions

$17.25 - $23.25/hr

The goal is to assist these foundational LLM companies in enhancing their Large Language Models ... professional experience in a technical or analytical field. * Experience in any programming ...

Rialto Capital

IT - Lead AI and Data Engineer

Miami, FL · On-site

$109.50K - $131.50K/yr

Technical & Professional Skills * AI & LLM Engineering : Deep hands-on experience integrating LLM APIs (Azure OpenAI, OpenAI, Anthropic Claude), with strong command of RAG architecture, embeddings ...

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How much do professional llm developer jobs pay per hour?

As of May 30, 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 are the key skills and qualifications needed to thrive as a Professional LLM Developer, and why are they important?

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 are Professional LLM Developers?

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 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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Professional Llm Developer jobs near you
Infographic showing various Professional Llm Developer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $104,344 per year, or $50.2 per hour.

LLM Engineer

Straive

San Francisco, CA • On-site, Remote

Full-time

Posted 14 days ago

Job description

Straive is a leading company in the Information Technology and Services industry, committed to delivering innovative solutions that leverage cutting-edge technologies to drive business transformation. We are currently seeking a highly skilled LLM Engineer to join our dynamic team. The ideal candidate will have a deep understanding of large language models (LLMs) and their application in real-world scenarios. As an LLM Engineer at Straive, you will play a crucial role in designing, developing, and optimizing advanced language-based AI systems that enhance our product offerings and customer experiences. This position offers an exciting opportunity to work with a talented group of professionals in a fast-paced, collaborative environment where your expertise will directly impact the evolution of AI-driven solutions. If you are passionate about natural language processing, machine learning, and artificial intelligence, and looking to contribute to transformative projects, Straive is the perfect place to grow your career and make a difference in the industry.
Responsibilities
  • Design, develop, and deploy large language model-based applications and services.
  • Collaborate with cross-functional teams to integrate LLM technologies into existing platforms.
  • Research and implement state-of-the-art natural language processing techniques.
  • Optimize model performance for accuracy, speed, and scalability.
  • Conduct thorough testing and validation of language models to ensure quality and reliability.
  • Stay updated with the latest advancements in LLMs and AI to incorporate best practices.
  • Provide technical guidance and support to team members on LLM-related projects.

Requirements
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • Proven experience working with large language models such as GPT, BERT, or similar frameworks.
  • Strong programming skills in Python and familiarity with ML libraries like TensorFlow or PyTorch.
  • Deep understanding of natural language processing concepts and techniques.
  • Experience with model deployment in cloud environments such as AWS, Azure, or GCP.
  • Ability to analyze and improve model performance using appropriate evaluation metrics.
  • Excellent problem-solving skills and the ability to work effectively in a team-oriented environment.

Benefits
Social Security (IMSS)
National Housing Fund (Infonavit)
Consumption Coverage (FONACOT)
Deel Management Fee
Profit sharing bonus
Severance accrual

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