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Remote Llm Engineer Intern Jobs in Florida (NOW HIRING)

L3HHCM20

Lead, Data Engineer

Tallahassee, FL · Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... and LLM integration * Experience with Palantir Foundry tools such as Ontology Manager, Compass ...

L3HHCM20

Lead, Data Engineer

Melbourne, FL · Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... and LLM integration * Experience with Palantir Foundry tools such as Ontology Manager, Compass ...

Cotality

Principal Software Engineer (Python)

Sunrise, FL · On-site +1

$128K - $172K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Model Optimization (LLM & SLM): Partner with the Data Science team to architect intelligent routing ...

Humana

Lead, Offensive Security

Tampa, FL · Remote

... LLM inference. This requires a production software engineering mindset, not proof-of-concept ... Remote/WAH requirements: * WAH requirements: Must have the ability to provide a high speed DSL or ...

Humana

Lead, Offensive Security

Tampa, FL · Remote

... LLM inference. This requires a production software engineering mindset, not proof-of-concept ... Remote/WAH requirements: * WAH requirements: Must have the ability to provide a high speed DSL or ...

Boats Group

AI Software Engineer

Miami, FL · On-site +1

Proven experience developing or integrating AI Agents, workflow automations, or LLM-powered systems ... Embrace a balanced work model with remote work on Mondays and Fridays and in-office collaboration ...

Humana

Lead, Offensive Security

Miami, FL · Remote

... LLM inference. This requires a production software engineering mindset, not proof-of-concept ... Remote/WAH requirements: * WAH requirements: Must have the ability to provide a high speed DSL or ...

Humana

Lead, Offensive Security

Miami, FL · Remote

... LLM inference. This requires a production software engineering mindset, not proof-of-concept ... Remote/WAH requirements: * WAH requirements: Must have the ability to provide a high speed DSL or ...

Humana

Lead, Offensive Security

Miami, FL · Remote

... LLM inference. This requires a production software engineering mindset, not proof-of-concept ... Remote/WAH requirements: * WAH requirements: Must have the ability to provide a high speed DSL or ...

Humana

Lead, Offensive Security

Tampa, FL · Remote

... LLM inference. This requires a production software engineering mindset, not proof-of-concept ... Remote/WAH requirements: * WAH requirements: Must have the ability to provide a high speed DSL or ...

PolySwarm

Senior Software Engineer

Miami, FL · On-site +1

$117K - $154K/yr

Comfortable with a LLM-assisted development environment * Proficient with software debugging and ... Comfortable working in a remote-only environment * Analytical mind * Confidence to share your ideas

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All JobsLlm Engineer Intern JobsRemote Llm Engineer Intern JobsRemote Llm Engineer Intern Jobs in Florida

Remote Llm Engineer Intern information

What is a remote LLM engineer intern?

A Remote LLM Engineer Intern is a student or early-career professional who works remotely to support the development and implementation of Large Language Models (LLMs), such as GPT or BERT. Their responsibilities often include data preprocessing, model training, fine-tuning, evaluation, and contributing to codebases for AI-driven applications. Interns collaborate with senior engineers and researchers, learning best practices in natural language processing and machine learning, while gaining hands-on experience with cutting-edge technologies. This role is typically offered by tech companies, research labs, or AI startups and allows interns to contribute to projects from anywhere with internet access.

What are the typical projects and responsibilities for a remote LLM engineer intern?

As a Remote LLM Engineer Intern, you can expect to work on tasks such as fine-tuning large language models, evaluating model outputs, and implementing improvements to existing NLP pipelines. Interns often collaborate with data scientists, machine learning engineers, and product teams to develop and test new features or workflows. A typical week may involve coding experiments, analyzing datasets, addressing model bias or performance issues, and participating in virtual team meetings. This role offers hands-on experience with state-of-the-art language models and exposure to the latest advancements in AI.

What are the key skills and qualifications needed to thrive as a remote LLM engineer intern, and why are they important?

To excel as a Remote LLM Engineer Intern, you need a solid background in computer science fundamentals, proficiency in Python, and experience with machine learning or natural language processing, often supported by relevant coursework or internships. Familiarity with deep learning frameworks such as PyTorch or TensorFlow, and version control systems like Git, is usually required. Strong problem-solving abilities, self-motivation, and the ability to communicate technical concepts remotely are essential soft skills. These competencies enable interns to contribute effectively to LLM projects, adapt to remote collaboration, and develop solutions in a rapidly evolving AI field.

What is the difference between Remote Llm Engineer Intern vs Remote Machine Learning Engineer Intern?

AspectRemote Llm Engineer InternRemote Machine Learning Engineer Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, AI, or related fields; familiarity with NLP and LLMsSimilar educational background; focus on ML algorithms, data processing, and software engineering
Work EnvironmentRemote internship, often in tech companies developing NLP or AI productsRemote internship, in companies working on ML applications across industries
Employer & Industry UsageUsed in AI startups, research labs, and tech giants focusing on NLP and language modelsCommon in tech firms, research institutions, and companies deploying ML solutions

The main difference between a Remote Llm Engineer Intern and a Remote Machine Learning Engineer Intern lies in their focus areas. The Llm Intern specializes in language models and NLP-specific tasks, while the ML Intern has a broader scope in machine learning applications. Both roles require similar educational backgrounds and are typically remote internships in tech-driven environments.

What cities in Florida are hiring for Remote Llm Engineer Intern jobs?

Cities in Florida with the most Remote Llm Engineer Intern job openings:

Remote Llm Engineer Intern jobs near you

AI Solutions Engineer

Fortress Information Security

Orlando, FL • On-site, Remote

$67K - $94K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

AI Solutions Engineer
Location: Remote
Compensation: $67,000 - $94,000
Employment Type: Full-Time
Travel Requirement: Regular travel between 15-25%
Clearance: Must be eligible for a U.S. Secret Clearance
What you can expect as the AI Solutions Engineer at Fortress...
The AI Solutions Engineer is the rapid prototyper at the center of Fortress's forward deployed engineering capability. This role turns urgent customer and internal problems into working solutions fast, using modern AI-assisted development platforms (such as Lovable, Claude, Retool, and similar tools) to build functional prototypes, automations, and internal tooling in days rather than months. This role works closely with Solutions Engineering, Product, and senior forward deployed engineers. The AI Solutions Engineer validates ideas quickly, demonstrates value to customers and stakeholders, and hands off proven concepts to Product and Engineering with clear requirements so they can be scaled into supported capabilities. This role is designed as a growth path: high performers will progressively develop the data engineering, cybersecurity, and customer-facing skills to move toward the Forward Deployed Engineer track. This is an ideal opportunity for a hands-on builder who moves fast, learns tools quickly, and cares more about shipping working solutions than about any particular technology stack.
Responsibilities Include
  • Rapidly build working prototypes of AI-enabled tools, workflows, and applications using platforms such as Lovable, Claude, Retool, and similar AI-assisted development tools.
  • Turn loosely defined problem statements from customers, Solutions Engineering, and internal teams into functional demos and proofs of concept.
  • Build and iterate on internal tooling, dashboards, and automations that reduce manual effort and improve time-to-resolution.
  • Connect prototypes to real data through APIs, integrations, and data sources (e.g., Supabase or similar backends).
  • Demo prototypes to internal stakeholders and, over time, to customers; incorporate feedback in fast iteration cycles.
  • Document what was built and hand off validated concepts to Product Management and Engineering with clear requirements so they can be scaled into supported capabilities.
  • Follow responsible development practices: version control, access hygiene, and appropriate use of AI tools within company standards.
  • Pair with senior forward deployed engineers, progressively taking on more technical depth and customer-facing responsibility.
  • Other duties as assigned.

Minimum Qualifications
  • Demonstrated ability to build working software or applications using AI-assisted and low-code development platforms (e.g., Lovable, Claude, Retool, n8n, or similar).
  • Comfort working with APIs, data sources, and integrations to make prototypes function with real data.
  • A builder's mindset: speed, curiosity, pragmatism, and the judgment to know when a prototype is good enough to prove the point.
  • Ability to take a vague problem statement and turn it into something demonstrable without detailed specifications.
  • Clear written and verbal communication, including demoing work to technical and non-technical audiences.
  • Willingness to learn Fortress platform capabilities, customer workflows, and cybersecurity domain concepts.
  • Must be eligible for a U.S. security clearance; successful completion of a background check is required.
  • 2+ years' experience in a related field.

Preferred Skills
  • Exposure to scripting or light coding (Python, JavaScript, or SQL) beyond low-code platforms.
  • Experience with Supabase, Postgres, or similar backends, and with authentication concepts (e.g., SSO).
  • Familiarity with LLM concepts such as prompt engineering, RAG, or agent workflows.
  • Experience in SaaS, cybersecurity, supply chain, risk management, or enterprise software.
  • A portfolio of things you have built - side projects, internal tools, or shipped prototypes.
  • Interest in growing into a customer-embedded Forward Deployed Engineer role.

Education
  • Bachelor's degree in computer science, engineering, cybersecurity, or a related field required.

Employee Benefits
  • Remote and Hybrid working environment
  • Competitive pay structure
  • Medical, dental, vision plans with employees covered up to 90% with highly progressive options for dependents and families
  • Company paid life, short- and long-term disability insurance
  • Employee Assistance Program
  • 401(k) match
  • Flexible Paid Time Off
  • Parental Leave

Employment Perks
  • We provide each employee with professional growth opportunities through succession planning, up-skilling, and certifications
  • Tuition and certification reimbursement
  • Employee Referral Programs
  • Company Sponsored Events

Fortress is proud to be an Equal Opportunity Employer. All employees and applicants will receive consideration for employment without regard to age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law. Fortress Information Security takes part in the E-Verify process for all new hires.
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will have to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Pay Range: $67,000 - $94,000 per year

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