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Full Time Llm Developer Jobs (NOW HIRING)

Bomnin Chevrolet Dadeland

Sr. AI/ML Engineer (LLM)

Miami, FL · On-site

$99K - $137K/yr

Role Description This is a full-time, on-site role located in Miami, FL, for a Senior AI/ML ... Collaborate with product managers, data scientist, and software engineers to integrate LLM-based ...

Monitise

Mainframe COBOL Software Engineer

Alpharetta, GA · On-site

$47.75 - $61.50/hr

... LLM developer tools incorporating AI into daily development activities. * Ability to work some ... This is a full-time, direct-hire position, and no contract options for unsolicited agency ...

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA

$143K - $186K/yr

Proficiency in C/C++ programming, familiar with at least one commonly used LLM inference engines ... The US base salary range for this full-time position is $143,200.00 - $186,000.00. * Within the ...

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA · On-site

$143K - $186K/yr

Proficiency in C/C++ programming, familiar with at least one commonly used LLM inference engines ... The US base salary range for this full-time position is $143,200.00 - $186,000.00. * Within the ...

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Full Time Llm Developer information

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How much do full time llm developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for full time llm developer in the United States is $19.71, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $19.95 per hour, depending on experience, location, and employer.

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

AspectFull Time Llm DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; experience with NLP and LLMsBachelor's or Master's in Computer Science, Data Science, or related fields; experience with ML algorithms
Work EnvironmentTech companies, AI startups, research labs focusing on NLP and language modelsTech companies, data-driven firms, AI startups working on various ML applications
Employer & Industry UsagePrimarily in AI/NLP industry, research institutions, and product development teamsAcross industries like tech, finance, healthcare, focusing on ML solutions

Full Time Llm Developers specialize in building and optimizing large language models, often focusing on NLP tasks. Machine Learning Engineers have a broader scope, working on various ML models and algorithms across multiple domains. While both roles require similar educational backgrounds and work environments, their focus areas differ, with Llm Developers concentrating on language-specific models.

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Full Time Llm Developer jobs near you
Infographic showing various Full Time Llm Developer job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 2% Part Time, and 16% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $40,987 per year, or $19.7 per hour.

Sr. AI/ML Engineer (LLM)

Bomnin Automotive Group

Miami, FL • On-site

Full-time

Re-posted 14 days ago

Job description

Job description Company Description Dealer Automation Technologies is a leading Information Technology Services company that provides Software as a Service (SaaS) solutions for the automotive industry. The company specializes in Process Automation, Advanced Analytics, and Augmented Intelligence to redefine dealership operations. With a focus on intuitive user experiences and cutting-edge technologies, Dealer Automation Technologies is paving the way for innovation in the sector.

Combining the agility of a startup with the expertise and business acumen of seasoned leaders, the company operates without dependence on legacy systems, fostering a dynamic and innovative work culture. Role Description This is a full-time, on-site role located in Miami, FL, for a Senior AI/ML Engineer specializing in Large Language Models (LLMs) to join our team. You will play a key role in designing and implementing workflows that leverage large language models (LLMs, LAMs, LMMs, LVLMs, etc.) to automate processes and drive innovation in our products

The ideal candidate will have a deep understanding of NLP, experience with foundational models, and a flexible, problem-solving mindset. You will collaborate closely with cross-functional teams, contributing to the development of scalable AI driven solutions. Other primary responsibilities include designing and implementing machine learning models, particularly in natural language processing and large language models, building scalable algorithms, conducting research on neural networks, and evaluating model performance.

Additionally, the engineer will collaborate with cross-functional teams to ensure seamless integration of AI/ML components into the company's software offerings. Major Areas of Responsibility Design, Implement, and optimize workflows that incorporate large language models to automate and enhance product features. Leverage existing foundational models and adapt them to fit into various product requirements, ensuring alignment with business goals.

Collaborate with product managers, data scientist, and software engineers to integrate LLM-based automation into scalable solutions. Create and architect interpreters, Agented Systems, and integrate multi-hop RAG and other LLM experiences into existing systems to coordinate knowledge responses. Research and evaluate new technologies and methodologies in the LLM space to continuously improve product automation.

Work on the customization and fine-tunning of models to optimize performance for specific use cases. Develop, test, and deploy LLM-based services in production environments. Provide AI/ML technical leadership and mentorship to other engineers on the team.

Ensure that LLM integrations are efficient, scalable, and secure, adhering to industry best practices.

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