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Full Time Llm Developer Jobs (NOW HIRING)

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 ...

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 ...

Infosys Limited Digital

LLM Development: Prompt engineering, RAG, function calling. * Agent Frameworks: LangChain, Bedrock ... Along with competitive pay, as a full-time Infosys employee you are also eligible for the following ...

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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 Jun 20, 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.

More about Full Time Llm Developer jobs
What cities are hiring for Full Time Llm Developer jobs? Cities with the most Full Time Llm Developer job openings:
What are the most commonly searched types of Llm Developer jobs? The most popular types of Llm Developer jobs are:
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What job categories do people searching Full Time Llm Developer jobs look for? The top searched job categories for Full Time Llm Developer jobs are:
Full Time Llm Developer jobs near you
Infographic showing various Full Time Llm Developer job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $40,987 per year, or $19.7 per hour.

Machine Learning Engineer - LLM, AI & Robotics

XPENG

Santa Clara, CA • On-site

Full-time

Posted 20 days ago

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
Job Responsibilities
  • Fine-tune the pre-trained LLM on particular use cases in Humanoid Robots and Autonomous Driving Cars, e.g. chat, API calling, etc.
  • Work on efficient LLMs (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in Robots and Cars.
  • Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production.
  • Work on efficient and effective ways to leverage large scale dataset and computational resource.
  • Explore novel ways to generate synthetic data to improve the data diversity & quality.
  • Communicate and align with different teams on product needs across the company

Minimum Skill Requirements:
  • Ph.D in Computer Science or related fields.
  • Solid background in machine learning, natural language processing (NLP), computer vision,
    speech or data.
  • Experience in working with LLMs
  • Strong python programming skills & software development, and strong experience with any
    major deep learning framework.
  • Open-minded, collaborative and excellent communication skills

Preferred Skill Requirements:
  • Deep understanding of language model modern architectures, 'under the hood' LLM training knowledge, quantization techniques, etc.
  • Familiarity of large language models (LLMs) relevant technologies, such as SFT, RLHF, prompt engineering, RAG, etc.
  • Record of publications, innovations or leadership.

What do we provide:
  • A fun, supportive and engaging environment
  • Opportunity to make significant impact on transportation revolution by the means of
    advancing autonomous driving
  • Opportunity to work on cutting edge technologies with the top talent in the field
  • Competitive compensation package
  • Snacks, lunches, and fun activities

The base salary range for this full-time position is $148,909 - $252,000, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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