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Remote Llm Engineer Intern Jobs in Tennessee (NOW HIRING)

Requirements Required: 2-3+ years of hands-on experience building with AI/LLM systems in production ... Must be authorized to work in the United States; role is US-remote. Nice to Have Experience with ...

... 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 ...

... 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 ...

Flexible (Hybrid/Remote Options Available) | Industry: Financial Services / Technology / Enterprise ... Strong grasp of prompt engineering, LLM integration, AI governance, and data infrastructure

Design workflows, interfaces and LLM orchestrations. Design resilient microservices, AP layers and ... Bachelor's Degree in Computer Science, Engineering or a related technical field * 3-5+ years ...

Design workflows, interfaces and LLM orchestrations. Design resilient microservices, AP layers and ... Bachelor's Degree in Computer Science, Engineering or a related technical field * 3-5+ years ...

Design workflows, interfaces and LLM orchestrations. Design resilient microservices, AP layers and ... Bachelor's Degree in Computer Science, Engineering or a related technical field * 3-5+ years ...

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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 are popular job titles related to Remote Llm Engineer Intern jobs in Tennessee?

For Remote Llm Engineer Intern jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Remote Llm Engineer Intern jobs in Tennessee look for?

The top searched job categories for Remote Llm Engineer Intern jobs in Tennessee are:

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

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

Senior AI Workflow Engineer

Chattanooga, TN โ€ข On-site, Remote

BlueCross BlueShield of Tennessee
Insurance Servicesย โ€ขย 5 - 10K employees

$95K - $130K/yr

Full-time

Re-posted 11 days ago


Job description

At BlueCross BlueShield of Tennessee, we're building the foundation for an AIenabled future-one where our teams work smarter, our operations move faster, and our 3.4 million members experience a more responsive, reliable, and affordable healthcare journey.

We're hiring a Senior AI Workflow Engineer to help drive this work within Commercial Finance. In this role, you'll be embedded directly with our finance teams (including underwriting) to help them imagine what's possible beyond today's tooling.

To do that, you'll need:

  • Experience with Generative AI, LLM integration, or agent framework

  • Understanding of APIs, orchestration, and integration patterns

  • Proficiency in Python and associated AI / ML libraries and frameworks

Our ideal candidates will also bring experience in healthcare (other payers, hospital systems, health tech companies) and/or experience working with finance teams.

If you're inspired by our mission, we'd love to hear from you!

Notes:

  • While this is a fully remote role, a final onsite interview at our Chattanooga, TN, headquarters will be required.

  • Sponsorship is not available for this role.

Job Responsibilities

Process Discovery & Business Partnership

  • Partner with security and legal teams to ensure all AI solutions are compliant with healthcare regulations, including HIPAA, and align with internal data security and privacy policies.
  • Conduct qualitative and quantitative analysis to define clear business requirements and translate operational challenges into actionable workflow designs.

AI Workflow Design & Engineering

  • Architect and deploy AI-enabled workflows integrating internal systems, APIs, and third-party platforms.
  • Incorporate AI components such as LLM agents and retrieval pipelines.

Adoption, Training & Change Leadership

  • Present workflow solutions to stakeholders and lead training sessions.
  • Act as an evangelist for AI adoption across the enterprise and contribute to AI playbooks and operational standards.
  • Establish telemetry for performance, drift, and cost.
  • Troubleshoot issues and identify issues and opportunities to improve workflow efficiency and additional automation.

Job Qualifications

Education

  • Bachelor's degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required. Master's or PhD degree is a plus

Experience

  • 4+ years software engineering experience including automation pipelines or an equivalent combination of education, training, and demonstrated skills.
  • Strong proficiency in Python; experience with cloud platforms.
  • Understanding of APIs, orchestration, and integration patterns.
  • Experience with Generative AI, LLM integration, or agent frameworks.
  • Strong communication and stakeholder-collaboration skills.

Skills/Certifications

  • Advanced proficiency in Python and associated AI/ML libraries and frameworks.
  • Deep experience with LLMs, NLP, and GenAI frameworks (LangChain, HuggingFace, LlamaIndex).
  • Familiarity with containerization (Docker, Kubernetes) and microservices architecture.
  • Basic analytical and problem-solving skills.
  • Good verbal and written communication skills. Ability to document work clearly.
  • Strong business acumen and ability to translate strategic priorities into technical requirements.
  • Highly organized, reliable, capable of managing multiple complex tasks, demonstrating an exceptional work ethic and strategic thinking.

Number of Openings Available

1

Worker Type:

Employee

Company:

BCBST BlueCross BlueShield of Tennessee, Inc.

Applying for this job indicates your acknowledgement and understanding of the following statements:

BCBST will recruit, hire, train and promote individuals in all job classifications without regard to race, religion, color, age, sex, national origin, citizenship, pregnancy, veteran status, sexual orientation, physical or mental disability, gender identity, or any other characteristic protected by applicable law.

Further information regarding BCBST's EEO Policies/Notices may be found by reviewing the following page:

BCBST's EEO Policies/Notices

BlueCross BlueShield of Tennessee is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at BlueCross BlueShield of Tennessee via-email, the Internet or any other method without a valid, written Direct Placement Agreement in place for this position from BlueCross BlueShield of Tennessee HR/Talent Acquisition will not be considered. No fee will be paid in the event the applicant is hired by BlueCross BlueShield of Tennessee as a result of the referral or through other means.