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Remote Llm Engineer Intern Jobs in Ohio (NOW HIRING)

Further

Senior AI Engineer

Cleveland, OH · On-site +1

$101K - $139K/yr

Deep experience building production applications with LLM frameworks such as LangChain, LangGraph ... Apply today or check out all our opportunities! #LI-Remote #LI-Hybrid #LI-Onsite By submitting your ...

Bread Financial

Senior Staff Agentic AI Engineer

Columbus, OH · On-site +1

$102K - $139K/yr

... g., LLM-powered applications, LangChain, LangGraph, AutoGen) and 3+ years of experience ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Air Force Research Laboratory

$17.25 - $22.50/hr

... engineers, and mission leaders to ensure resources align with strategic priorities - Analyze ... Remote Work (CONUS): * No, this position is not approved for remote work. * Eligible for a Referral ...

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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 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 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 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 Ohio? For Remote Llm Engineer Intern jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Llm Engineer Intern jobs in Ohio look for? The top searched job categories for Remote Llm Engineer Intern jobs in Ohio are:
What cities in Ohio are hiring for Remote Llm Engineer Intern jobs? Cities in Ohio with the most Remote Llm Engineer Intern job openings:
Remote Llm Engineer Intern jobs near you

Senior AI Engineer

Further

Cleveland, OH • On-site, Remote

$101K - $139K/yr

Full-time

Re-posted 2 days ago

Job description

WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let's chat!

SENIOR AI ENGINEER

We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients.

What experience should you have:

  • 12+ years of years experience developing and deploying Data Science and ML solutions
  • 3+ years of experience working directly with GenAI/RAG/LLM architecture
  • Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation.
  • Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex.
  • Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.
  • Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.
  • Nice to have: Experience in Typescript development for prototyping and integrations
  • Nice to have: Proficiency with git workflows and understanding of standard application development processes

Preferred Qualifications

  • Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT).
  • Experience optimizing inference costs and latency for large-scale deployments.
  • Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures.
  • Any Google Cloud Professional Certification

What you'll be doing in this role:

  • Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time.
  • Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale.
  • Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed.
  • Establish comprehensive model observability and guardrail systems to monitor real-time performance, detect distribution drift, and implement automated safety filters that mitigate hallucinations, bias, and toxic outputs in production environments.
  • Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases.
  • Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team.
  • Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load.
  • Define the end-to-end architecture for AI products on cloud platforms (preferably Google Cloud Platform), ensuring high availability, security, and cost-effectiveness.

What you'll need to accomplish in your first year:

  • Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements.
  • Mentor engineers on best practices for building deterministic software around probabilistic AI models.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Remote

#LI-Hybrid

#LI-Onsite

By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.