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Remote Llm Engineer Intern Jobs in Alabama (NOW HIRING)

Generative AI and LLM development. * Prompt Engineering . * RAG (Retrieval-Augmented Generation ... Location Hyderabad / Remote / Hybrid - As per company requirements.

New

$40/hr

... Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

... Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

... Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

... Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

... Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Automation Test Engineer

Birmingham, AL · On-site +1

$43 - $57/hr

Our agents are LLM-driven, so correctness is a range of acceptable behaviors rather than a single ... remote). Requirements - 10+ years in software quality engineering, with a strong focus on test ...

... / 2 remote). Requirements * 10+ years building production backend or distributed systems ... LLM-based product or conversational AI experience * HIPAA-regulated or other compliance-heavy ...

... / 2 remote). Requirements * 10+ years building production backend or distributed systems ... LLM-based product or conversational AI experience * HIPAA-regulated or other compliance-heavy ...

Showing results 21-40

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 Alabama?

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

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

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

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

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

Gen AI Engineer

Vultus Inc

On-site, Remote

Full-time

Posted 2 days ago

New


Job description

Gen AI Engineer

Experience

3–6 Years

Job Type

Full-Time

Job Summary

We are looking for a skilled Gen AI Engineer to design, develop, and deploy Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI/ML technologies. The ideal candidate should have strong Python programming skills and hands-on experience building production-ready AI applications.

Key Responsibilities
  • Design and develop Generative AI applications using LLMs.
  • Build and optimize RAG pipelines using embeddings and vector databases.
  • Work with models such as GPT, LLaMA, Claude, Gemini, or similar LLMs.
  • Develop prompt engineering strategies and evaluate model responses.
  • Build AI agents and intelligent automation workflows.
  • Integrate LLMs with APIs, enterprise applications, and databases.
  • Implement document processing, text extraction, summarization, classification, and question-answering solutions.
  • Fine-tune or customize AI models when required.
  • Develop evaluation frameworks to measure accuracy, relevance, latency, and reliability.
  • Optimize AI applications for performance, scalability, and cost.
  • Collaborate with Data Scientists, ML Engineers, Software Engineers, and Product teams.
  • Follow best practices for AI security, responsible AI, data privacy, and model governance.
Primary Skills
  • Strong Python programming.
  • Generative AI and LLM development.
  • Prompt Engineering.
  • RAG (Retrieval-Augmented Generation).
  • Vector databases such as Pinecone, FAISS, Weaviate, or Chroma.
  • LLM frameworks such as LangChain or LlamaIndex.
  • Experience with OpenAI, Azure OpenAI, Gemini, Claude, or open-source LLMs.
  • Machine Learning and NLP fundamentals.
  • REST APIs and microservices.
  • Git and software development practices.
Secondary Skills
  • Cloud platforms: AWS / Azure / GCP.
  • Docker and Kubernetes.
  • ML frameworks such as PyTorch or TensorFlow.
  • MLOps and model deployment.
  • SQL and NoSQL databases.
  • AI agents and tool/function calling.
  • Knowledge of LLM evaluation and observability tools.
Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Preferred Qualifications
  • Experience deploying Gen AI solutions in production.
  • Experience working with enterprise-scale AI applications.
  • Knowledge of AI safety, hallucination mitigation, and responsible AI practices.
  • Strong analytical and problem-solving skills.
  • Good communication and collaboration skills.
Salary

Competitive salary based on experience and skills.

Location

Hyderabad / Remote / Hybrid – As per company requirements.