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Llm Delivery Jobs (NOW HIRING)

Gap International

AI/LLM Engineer

Philadelphia, PA

As part of our growth strategy, we're expanding our AI capabilities to deliver cutting-edge ... As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ...

Gap International

AI/LLM Engineer

Springfield, PA · On-site

As part of our growth strategy, we're expanding our AI capabilities to deliver cutting-edge ... As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ...

Minfy

AI / LLM Engineer

Mclean, VA · On-site

... LLM-generated user profiles into a deep-learning ranking model, and driving the work from offline ... delivery environment.

Autonomize Inc

ML/LLM Engineer - Applied AI

Austin, TX · On-site

... 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 ...

USA Clinics Group

LLM Engineer

Northbrook, IL

$85K - $115K/yr

Our mission is simple: deliver life-changing, minimally invasive care, close to home. We're ... The LLM Engineer serves as the organization's AI technical lead responsible for designing ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

Our mission is simple: deliver life-changing, minimally invasive care, close to home. We're ... The LLM Engineer serves as the organization's AI technical lead responsible for designing ...

Bomnin Chevrolet Dadeland

Sr. AI/ML Engineer (LLM)

Miami, FL · On-site

$99K - $137K/yr

We are a family-owned and operated business that has been delivering excellence in the automotive ... Ensure that LLM integrations are efficient, scalable, and secure, adhering to industry best ...

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Llm Delivery information

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$13

$46

$91

How much do llm delivery jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for llm delivery in the United States is $46.36, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $60.58 per hour, depending on experience, location, and employer.

What is the difference between Llm Delivery vs Data Scientist?

AspectLlm DeliveryData Scientist
Required CredentialsTypically requires knowledge of AI/ML deployment, cloud platforms, and programming skillsRequires degrees in data science, statistics, or related fields, with skills in programming and analytics
Work EnvironmentOften involves collaboration with AI teams, cloud infrastructure, and client-facing projectsWorks with data analysis, modeling, and visualization within teams or independently
Employer & Industry UsageUsed in tech companies, AI service providers, and consulting firmsCommon in tech, finance, healthcare, and research organizations
Search & Comparison IntentPeople compare roles related to AI deployment and implementationPeople compare roles focused on data analysis and modeling

While both roles involve technical skills, Llm Delivery focuses on deploying large language models and AI solutions, whereas Data Scientists primarily analyze data and build predictive models. Understanding these differences helps candidates choose the right career path or job opportunity.

What are some common challenges faced by professionals in LLM Delivery roles, and how can they be addressed?

Professionals in LLM Delivery often encounter challenges such as aligning large language model solutions with client requirements, managing cross-functional teams, and ensuring robust model deployment and monitoring. Successfully navigating these challenges typically involves clear communication with stakeholders, staying updated on best practices in AI model deployment, and collaborating closely with data scientists, engineers, and product managers. Building strong project management skills and fostering a culture of continuous feedback can also help in delivering high-quality, scalable LLM solutions.

Does Amazon use third party delivery drivers?

Amazon employs both its own delivery network, Amazon Logistics, and third-party delivery drivers through partnerships with companies like UPS, FedEx, and independent contractors via programs such as Amazon Flex. Delivery drivers, including those working for Amazon Flex, are often classified as independent contractors and need a valid driver's license and a reliable vehicle. The use of third-party drivers varies by location and delivery type, with some deliveries handled by Amazon employees and others by external contractors.

What jobs make $1,000,000 a year?

In the field of Llm Delivery or related AI and technology roles, earning $1,000,000 annually is rare and typically limited to top executives, founders, or highly successful entrepreneurs in tech companies. High-level positions such as CTOs or CEOs in large organizations or startups with significant revenue may reach this income level, often supplemented by stock options or equity. Most professionals in this field do not reach this income threshold without substantial business success or ownership stakes.

What is a LLM in a career?

In a career context, LLM typically refers to a Master of Laws degree, a postgraduate qualification in law that can enhance legal expertise and career prospects. It is often pursued by legal professionals seeking specialization or advanced knowledge in areas such as international law, corporate law, or intellectual property. The term is also used in technology to denote large language models, but in a job context, it most commonly relates to the law degree.

What is an LLM Delivery specialist?

An LLM Delivery specialist is a professional responsible for deploying, integrating, and maintaining large language models (LLMs) within an organization or for clients. Their work involves overseeing the effective implementation of LLM solutions, ensuring they meet business requirements, and handling issues like scalability, data privacy, and performance optimization. They often collaborate with data scientists, engineers, and stakeholders to deliver AI-driven applications and services powered by LLMs.

What is the highest paid delivery job?

In the delivery industry, roles such as specialized courier or logistics manager tend to be among the highest paid, often earning over $70,000 annually. These positions typically require experience, advanced logistics skills, and sometimes certifications, and may involve managing large delivery fleets or operating in high-demand sectors.

What are the key skills and qualifications needed to thrive as an LLM Delivery specialist, and why are they important?

To thrive as an LLM Delivery specialist, you need a strong background in machine learning, natural language processing, and software engineering, often supported by a degree in computer science or a related field. Familiarity with large language model frameworks (such as OpenAI, Hugging Face), cloud platforms, and MLOps tools is typically required, along with experience in model deployment and monitoring. Excellent problem-solving skills, effective communication, and adaptability are vital soft skills for collaborating with cross-functional teams and addressing client needs. These competencies ensure successful implementation, scalability, and optimization of language model solutions in dynamic production environments.
More about Llm Delivery jobs
What cities are hiring for Llm Delivery jobs? Cities with the most Llm Delivery job openings:
What states have the most Llm Delivery jobs? States with the most job openings for Llm Delivery jobs include:
What job categories do people searching Llm Delivery jobs look for? The top searched job categories for Llm Delivery jobs are:
Llm Delivery jobs near you
Infographic showing various Llm Delivery job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 4% Full Time, 83% Part Time, and 11% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $96,421 per year, or $46.4 per hour.
AI/LLM Engineer

AI/LLM Engineer

Gap International

Philadelphia, PA

Full-time

Posted 22 days ago

Job description

GAP INTERNATIONAL – A unique, purpose-driven, consulting company

ABOUT GAP INTERNATIONAL

Gap International is a global consulting firm that partners with executives to achieve breakthrough business results. We're a team of passionate problem-solvers committed to innovation and transformation. As part of our growth strategy, we're expanding our AI capabilities to deliver cutting-edge solutions across the enterprise. This role offers the opportunity to work on impactful projects, including dialog-driven learning and business process acceleration.

ABOUT THE ROLE

You will be part of a tight knit, highly collaborative research and development team focused on building real-world AI applications. As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on large language models and natural language understanding. Your work will involve techniques such as fine-tuning, retrieval-augmented generation (RAG), and prompt engineering to solve meaningful business challenges.


You will work closely with teams to explore data, shape requirements, and integrate AI capabilities into internal tools and digital products. Your contributions will drive innovation and shape transformative projects across the organization.

RESPONSIBILITIES

  • Design and implement AI systems using Large Language Models (LLMs) to solve enterprise challenges and improve operational efficiency.
  • Fine-tune foundation models and apply techniques such as retrieval-augmented generation (RAG) and prompt engineering.
  • Collaborate with cross-functional teams to integrate AI capabilities into internal tools, workflows, and digital products.
  • Evaluate and experiment with frameworks and tools like Hugging Face, LangChain, OpenAI, Claude, and LLaMA.
  • Build and deploy scalable LLM solutions across cloud-based and local environments, leveraging container orchestration tools where applicable.
  • Lead architectural decisions and guide implementation of reusable frameworks for model evaluation, optimization, and deployment.
  • Design, develop, and optimize autonomous AI agents.
  • Apply emerging research to practical use cases, staying current with advancements in NLP and generative AI.
  • Mentor team members and contribute to a collaborative, high-performance development environment.

REQUIREMENTS

  • Minimum Master's degree in Computer Science, Engineering, or a related technical field (PhD preferred); candidates with a Master's must have at least 2 years of relevant work experience since graduating.
  • Strong experience developing and deploying LLM-based applications, including fine-tuning and prompt engineering.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow, along with version control tools like GitHub.
  • Familiarity with cloud-based AI services and APIs (e.g., OpenAI, AWS, Azure, GCP) and experience deploying models in scalable environments.
  • Solid understanding of NLP concepts, transformer architectures, and evaluation metrics for LLM systems.
  • Experience designing and implementing end-to-end training pipelines, including data shaping, model tuning, and performance optimization.
  • Ability to communicate complex technical concepts clearly across teams and to non-technical stakeholders.
  • Contributions to the AI/ML community through publications, open-source projects, or thought leadership.

GAP INTERNATIONAL ASSOCIATES

  • Purposeful people at work impacting companies around the world.
  • People who thrive in a learning environment and enjoy learning, growing, and performing at their best; energized to continually push beyond their comfort zone.
  • Comfortable with ambiguity; eager to take on things they don't know how to do.
  • Curious and flexible when it comes to their own growth and development, as well as receptive to coaching and feedback to maximize their potential.
  • Willing to communicate and contribute thoughts, insights and new ideas to senior leaders both internally and externally.

WHAT WE OFFER

  • A role with significant impact and visibility within the company.
  • Opportunities for professional growth and development in a supportive and collaborative environment.
  • Competitive salary commensurate with experience.
  • A dynamic and inclusive company culture.

TO APPLY

Please submit your resume which includes a list of publications, a cover letter explaining your interest and how your skills and experience meet the qualifications of the position, and any relevant portfolio or GitHub links showcasing your previous work or projects.

Gap International associates are based out of our corporate office in the Philadelphia metropolitan area. In order to be considered for this role, applicants should be legally authorized to work in the US.

Gap International is an equal opportunity employer and values diversity. All employment is decided on the basis of qualifications, merit and business need, and all qualified candidates will receive consideration.