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Internship Retrieval Augmented Generation Jobs in Alabama

Applied AI Engineer

Huntsville, AL ยท On-site

$110 - $140/hr

Apply techniques such as retrieval-augmented generation, NLP, computer vision, planning, or optimization where appropriate * Integrate AI capabilities with existing software systems, databases, APIs ...

New

AI Engineer

Huntsville, AL ยท On-site

$99K - $225K/yr

Experience building Retrieval Augmented Generation solutions * Experience integrating LLMs, external APIs, and distributed services into production environments with optimized inference workflows

AI Engineer

Huntsville, AL ยท On-site

$99K - $225K/yr

Experience building Retrieval Augmented Generation solutions * Experience integrating LLMs, external APIs, and distributed services into production environments with optimized inference workflows

AI Engineer

Huntsville, AL ยท On-site

$99 - $225/hr

Experience building Retrieval Augmented Generation solutions * Experience integrating LLMs, external APIs, and distributed services into production environments with optimized inference workflows

AI Engineer

Huntsville, AL ยท On-site

$99K - $225K/yr

Experience building Retrieval Augmented Generation solutions * Experience integrating LLMs, external APIs, and distributed services into production environments with optimized inference workflows

AI Engineer

Huntsville, AL ยท On-site +1

$99K - $225K/yr

Experience building Retrieval Augmented Generation solutions * Experience integrating LLMs, external APIs, and distributed services into production environments with optimized inference workflows

Senior Data Scientist

Birmingham, AL ยท On-site +1

$130K - $170K/yr

RAG (Retrieval-Augmented Generation) * MLOps * Docker * Kubernetes * Airflow * Snowflake * Databricks * CI/CD Required Qualifications * Bachelor's or Master's degree in Computer Science, Data Science ...

... using retrieval-augmented generation (RAG). If you enjoy working across the software stack and ... Relevant skills may be demonstrated through professional experience, internships, coursework ...

... using retrieval-augmented generation (RAG). If you enjoy working across the software stack and ... Relevant skills may be demonstrated through professional experience, internships, coursework ...

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Internship Retrieval Augmented Generation information

What is an internship in Retrieval Augmented Generation (RAG)?

An Internship in Retrieval Augmented Generation (RAG) is a temporary position, typically for students or early-career professionals, focused on developing or researching AI systems that combine information retrieval with generative models. Interns in this field may work on enhancing how AI models find and use external data sources to generate accurate, context-aware responses. This role often involves tasks such as data preprocessing, implementing retrieval algorithms, fine-tuning language models, and evaluating system performance. It offers valuable hands-on experience with cutting-edge AI technologies and frameworks.

What types of projects or tasks can I expect to work on during an internship in Retrieval Augmented Generation (RAG)?

As an intern in Retrieval Augmented Generation, you can expect to work on projects that involve integrating information retrieval systems with generative AI models. Typical tasks may include curating and preprocessing data sets, developing or fine-tuning retrieval algorithms, evaluating the performance of RAG pipelines, and collaborating with engineers and researchers to improve end-to-end system accuracy. You may also assist in conducting experiments, analyzing results, and documenting findings, all within a collaborative team environment that values innovation and knowledge sharing.

What are the key skills and qualifications needed to thrive as an intern working with Retrieval Augmented Generation (RAG), and why are they important?

To thrive as an intern in Retrieval Augmented Generation, you need a foundational understanding of natural language processing, machine learning concepts, and strong programming skills, often supported by coursework or research in computer science or data science. Familiarity with tools like Python, PyTorch or TensorFlow, and experience with libraries such as Hugging Face Transformers and vector databases are typically required. Strong analytical thinking, curiosity, and effective communication make candidates stand out in collaborative, research-intensive environments. These abilities are critical for developing, evaluating, and improving RAG systems that combine information retrieval with generative models.

What is the difference between Internship Retrieval Augmented Generation vs Internship Data Analyst?

AspectInternship Retrieval Augmented GenerationInternship Data Analyst
Required SkillsKnowledge of AI, NLP, retrieval systems, programmingData analysis, statistical skills, Excel, SQL
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Employer UsageDevelop AI models, improve retrieval systemsAnalyze data trends, generate reports

Internship Retrieval Augmented Generation focuses on developing AI models that combine retrieval systems with language generation, requiring skills in AI and programming. In contrast, an Internship Data Analyst concentrates on analyzing data sets to inform business decisions, emphasizing statistical and analytical skills. Both roles are common in tech and business sectors but serve different functions within organizations.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Alabama?

The most popular types of Retrieval Augmented Generation jobs in Alabama are:

What are popular job titles related to Internship Retrieval Augmented Generation jobs in Alabama?

For Internship Retrieval Augmented Generation jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Internship Retrieval Augmented Generation jobs in Alabama look for?

The top searched job categories for Internship Retrieval Augmented Generation jobs in Alabama are:

What cities in Alabama are hiring for Internship Retrieval Augmented Generation jobs?

Cities in Alabama with the most Internship Retrieval Augmented Generation job openings:

Applied AI Engineer -- LLM/NLP for Training Systems

Ingenix Technologies LLC

Huntsville, AL โ€ข On-site

$120 - $170/hr

Other

Posted 3 days ago

New


Job description

Applied AI Engineer โ€” LLM/NLP for Training Systems

Huntsville, AL (Hybrid) Full-Time Ability to obtain a Secret clearance required

Develop AI-enabled tools that transform technical manuals, procedures, and training content into structured workflows and interactive training assets. You'll work with LLMs, NLP, retrieval, and task extraction techniques to help convert complex source material into usable training system content.

What youโ€™ll do
  • Develop software tools for extracting tasks, procedures, entities, requirements, and decision logic from technical documents
  • Build LLM, NLP, and retrieval-augmented workflows for working with manuals, procedures, and training content
  • Design data structures such as task graphs, step sequences, checklists, and instruction templates
  • Evaluate model outputs for accuracy, traceability, consistency, and usefulness to training system developers
  • Integrate AI-generated outputs into simulation, XR, or software training pipelines
  • Document model behavior, assumptions, limitations, and human-review requirements
What weโ€™re looking for
  • Experience building applied AI, NLP, or LLM-enabled software in Python
  • Familiarity with retrieval-augmented generation, document processing, information extraction, or text classification
  • Ability to evaluate AI outputs carefully and design workflows that keep humans in the loop
  • Strong software engineering fundamentals and ability to work with structured and unstructured data
  • US Citizenship and ability to obtain a Secret clearance
Nice to have
  • Experience with technical manuals, military training content, maintenance procedures, or instructional systems
  • Familiarity with LangChain, LlamaIndex, vector databases, embeddings, OCR, or document parsing tools
  • Experience building knowledge graphs, task graphs, workflow engines, or structured content pipelines
  • Experience with defense, aerospace, training systems, or digital engineering applications
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