1

Internship Retrieval Augmented Generation Jobs in Alabama

Build LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering. * Develop AI ...

Build LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering. * Develop AI ...

AI / ML Engineer

Huntsville, AL · On-site

$95 - $150/hr

Build LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering. * Develop AI ...

Familiarity with AI agents, MCP servers, retrieval-augmented generation, or other AI-enabled development workflows. * Experience supporting Department of Defense, military, logistics, financial ...

DevSecOps Engineer

Huntsville, AL · On-site

$110 - $150/hr

Familiarity with artificial intelligence, machine learning, large language models, retrieval-augmented generation, or AI-assisted software engineering tools. * Understanding of cybersecurity controls ...

Software Engineer III

Huntsville, AL · On-site

$164K - $230K/yr

Experience building GenAI solutions utilizing prompt engineering, retrieval augmented generation, fine tuning. * Experience with serverless computing and event-driven architectures. * Familiarity ...

... retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses. • Support the review of architectures, development approaches, model ...

AI Engineer

Huntsville, AL · On-site

$134K - $241K/yr

Assess solutions involving LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses. * Support the review of architectures ...

Ground these systems in plant knowledge through retrieval-augmented generation over sources such as standard operating procedures, manuals, and work orders, with rigorous evaluation, guardrails, and ...

Assess solutions involving LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses. * Support the review of architectures ...

Showing results 41-60

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:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

DESE's Cyber Works and Digital Engineering teams design, build, and integrate emerging AI/ML technologies to harden and secure the systems that defend the nation, across ground, missile defense, space, and installation infrastructure S&T programs. We're expanding our Secure AI practice to build and assure trusted, robust AI/ML solutions that interpret complex datasets, predict outcomes, and automate decision-making in support of critical military platforms.
This is a consolidated announcement covering multiple tracks; your assignment may emphasize one or a blend of: Classic ML & Predictive Modeling, LLM/GenAI Applications, AI Assurance & Responsible AI, Edge AI/ML Deployment, and hardening AI/ML systems against adversarial threats. All tracks require independent research, cross-functional collaboration, and the ability to clearly communicate complex technical work to stakeholders.


Core Responsibilities:

  • Design, develop, and maintain machine learning models, from classical algorithms (regression, tree ensembles, clustering) to modern deep learning architectures.
  • Build LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering.
  • Develop AI assurance and evaluation tooling: robustness testing, bias/fairness analysis, model traceability, red-team/adversarial testing, and audit artifact generation.
  • Optimize and deploy models for production and edge environments (quantization, compression, containerized inference, ONNX/TensorRT).
  • Implement secure model and data pipelines, defend against adversarial ML threats, and ensure supply-chain integrity (SBOM) for AI components.
  • Conduct data processing/analysis to improve model accuracy; document and present development processes and assurance evidence to stakeholders.
  • Contribute to Agile, team-based planning and estimating in a fast-paced, collaborative environment.

Minimum Requirements: 

  • Bachelor's degree or equivalent experience in CS/CPE/EE/Data Science (or related field).
  • Proven experience in one or more: ML/LLM development, assurance/evaluation tooling, or deploying edge computing solutions.
  • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Proficiency in Python and at least one additional language (Java, C++).
  • Strong understanding of data structures, data modeling, and software architecture.

Highlighted Skills & Experience: 

  • Modern AI: LLM frameworks and application development; vector embeddings and vector databases; RAG architectures; prompt/context engineering; LLM fine-tuning; model evaluation and benchmarking.
  • Classic ML: Feature engineering, model selection/tuning, statistical analysis, and predictive modeling across structured and unstructured data.
  • AI Assurance: Responsible AI practices (robustness, bias/fairness, traceability); adversarial ML defenses; red-team testing; auditability and compliance documentation.
  • Edge & Deployment: ONNX/TensorRT, quantization/compression, ARM/NVIDIA Jetson/DSP targets, containerized inference, MLOps in controlled/classified environments.
  • Platform & DevSecOps: REST APIs, CI/CD for software and ML systems, SAST/DAST, Infrastructure-as-Code, cloud platforms (AWS, Azure, GCP).
  • Domain: Familiarity with computer networking, secure system integration for mission platforms, and test/V&V support (Python/MATLAB analysis).
  • Contributions to open-source AI/ML projects; experience deploying AI models in production, classified, or embedded environments.
  • Understanding of computer security principles and secure software development lifecycle (SSDLC) practices.

Why This Role Matters:
You'll join a high-impact team solving some of the DoD's hardest problems in AI-enabled system security, building the next generation of trusted, auditable, and mission-ready AI for national defense.

About DESE

For the past 43 years, DESE has provided industry-leading technical and engineering solutions in the fields of Defense, Energy, Space, and Environment. As a small, family-oriented business, DESE provides a compelling benefits package including a generous profit-sharing plan, competitive salaries, and perhaps most importantly, the opportunity to work alongside talented professionals leveraging cutting-edge technologies to solve complex and engaging problems.

Why employees love working for DESE:

At DESE, we are committed to creating a company that is known for its respect and care for employees. We understand that happy employees are what keeps our business going and we strive to provide the best opportunities for each individual working on our team! Here are a few reasons you will love working here:

  • Competitive health, dental and vision insurance with affordable premiums
  • Flexible work schedules
  • Two different flexible spending account options
  • Company paid life insurance with options for employee paid additional
  • Performance bonus program
  • Education reimbursement program
  • Company paid personal leave for approved philanthropic activities
  • Vacation, Sick & Holiday leave
  • Robust 401k profit sharing plan
  • Opportunities for internal promotions
  • Employee referral incentive program
  • Rewards and gifts for service anniversaries

Disability Accommodation for Applicants - DESE Research, Inc. is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use the following alternative email address or phone number to contact us about your interest in employment with us: hrandsecurity@dese.com or 256-837-8004x123.