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Prompt Engineering Internship Jobs in Alabama (NOW HIRING)

Support prompt engineering, model evaluation, and performance tuning for deployed AI features ... technical role (internship and academic project experience considered) Technical Skills:

Support prompt engineering, model evaluation, and performance tuning for deployed AI features ... technical role (internship and academic project experience considered) Technical Skills:

... prompt engineering, model evaluation, and performance tuning for deployed AI features • Research ... technical role (internship and academic project experience considered) Technical Skills • ...

Prompt Engineering Internship information

What is the stipend for prompt engineer intern?

The stipend for a prompt engineering internship varies depending on the company and location but typically ranges from $1,000 to $3,000 per month. Interns often work part-time or full-time and may also receive mentorship and skill development opportunities.

What is a Prompt Engineering Internship job?

A Prompt Engineering Internship is a role where interns learn to design, refine, and optimize prompts for AI models to generate accurate and useful responses. Interns work closely with developers, researchers, and data scientists to test and improve AI outputs. The position often involves experimenting with different prompt structures, analyzing results, and helping enhance AI capabilities. This internship is ideal for those interested in AI, natural language processing, and machine learning applications.

Is 22 too old for an internship?

Prompt Engineering Internships are open to candidates of various ages, including those in their early twenties. Age is generally not a barrier, and employers often value skills, relevant experience, and a willingness to learn over age. Many internships welcome diverse applicants, regardless of age, especially if they demonstrate enthusiasm and technical aptitude.

What kinds of projects or responsibilities can I expect during a Prompt Engineering Internship?

As a Prompt Engineering Intern, you will typically work on developing, testing, and optimizing prompts for large language models to improve response quality and accuracy. Your daily tasks may include collaborating with engineers, data scientists, and product teams to understand project goals, conducting experiments to evaluate prompt effectiveness, and documenting findings or best practices. You may also be involved in researching emerging trends in AI and suggesting improvements based on real-world feedback. This role offers a dynamic environment with opportunities to contribute to cutting-edge applications and strengthen your technical and communication skills in a collaborative team setting.

What are the key skills and qualifications needed to thrive in the Prompt Engineering Internship position, and why are they important?

To thrive as a Prompt Engineering Intern, you need a strong background in language modeling, natural language processing (NLP), and analytical thinking, often supported by coursework or experience in computer science or related fields. Familiarity with tools like Python, machine learning libraries (such as TensorFlow or PyTorch), and platforms that host large language models (like OpenAI API) is helpful. Excellent communication, problem-solving abilities, and creativity are valuable soft skills for crafting effective prompts and collaborating within teams. These skills ensure that prompts are precise and effective, enabling high-quality outputs from AI systems and driving innovation in conversational AI applications.

What jobs can I get with prompt engineering?

Prompt engineering skills are valuable in roles such as AI/ML engineer, data scientist, NLP specialist, or AI product manager, where designing effective prompts improves AI model outputs. These positions often require knowledge of machine learning, programming, and AI tools like language models. The role involves developing, testing, and refining prompts to optimize AI performance in various applications.

Are prompt engineers still in demand?

Prompt engineering is a growing field as AI language models become more integrated into various industries. Demand for prompt engineers is increasing, especially for roles involving AI development, natural language processing, and expertise with tools like GPT models, making it a valuable skill set for tech-focused positions.
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AI & Business Automation Intern (Fall 2026)

AI & Business Automation Intern (Fall 2026)

Leonardo DRS

Huntsville, AL • On-site

$16.50 - $21.50/hr

Full-time, Internship

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Leonardo DRS rating

8.0

Company rating: 8.0 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

133rd of 527 rated manufacturers


Job description

Job ID: 114524
The Leonardo DRS Land Electronics business provides C4I Network computing and integrated situational awareness, as well as state-of-the-art embedded diagnostics, vehicle power management and combat vehicle integration products and services.
Role Details
Business Unit: Land Electronics
Location: Huntsville, AL
Career Functional Area: Engineering
Experience Level: Early Career Professional
Telework Type: Onsite
Relocation Available: N/A
Type: Internship
Schedule: 10-15 hours per week
Shift: 1st
Job Summary
Leonardo DRS Land Electronics in Huntsville, AL is seeking a Fall 2026 AI & Business Automation Intern to help advance its internal AI and automation roadmap in a defense manufacturing environment. This is a hands-on learning role for an emerging technologist with foundational skills in scripting, data, or general IT who is eager to apply them to real business problems. You'll partner with the AI & Business Automation Lead and collaborate with IT, continuous improvement, and business stakeholders to build, test, and document AI-driven workflow automations used across engineering, program management, and operations - spanning rapid prototyping, agentic tool development, prompt engineering, Model Context Protocol (MCP) server configuration, vendor and tool evaluation, hands-on testing of pilot solutions, and creation of documentation and training materials that drive adoption. Ideal candidates are students in computer science, information systems, data analytics, engineering, or a related technical field with strong programming or scripting fundamentals and practical experience using modern LLM tools.
Job Responsibilities
  • Build & prototype - automation scripts, prompt workflows, and low-code/no-code solutions; proofs-of-concept for submitted use cases.
  • Agentic tools & Agent Skills - help build, configure, and refine agent skills and multi-step agent workflows; iterate on reliability and edge cases.
  • MCP servers - stand up, configure, and test Model Context Protocol servers that connect internal AI tools to business systems; evaluate community/vendor servers and contribute small in-house ones.
  • Prompt development - craft, test, and refine reusable prompts and templates for recurring business tasks.
  • Research, evaluation & testing - assess emerging AI tools and vendor solutions; execute test plans; validate AI outputs for accuracy and fitness for purpose.
  • Documentation & enablement - author user guides, wiki pages, and training content; document solution architectures, agent skills, and MCP configurations.
  • General support - triage and organize incoming idea submissions related to AI and automation.

Qualifications
  • Currently enrolled in an undergraduate or Master's program in computer science, information systems, data analytics, engineering, or a related technical field.
  • At least two years of academic experience with a GPA of 3.0 or higher.
  • Coursework or equivalent self-taught experience in CS, information systems, data analytics, or engineering; foundational programming or scripting ability in at least one modern language (e.g., Python, JavaScript/TypeScript, C/C++, or PowerShell); ability to pick up new languages and tools quickly.
  • Hands-on use of LLMs and AI assistants (ChatGPT, Claude, Copilot, Gemini); conceptual awareness of context windows, tokens, hallucinations, and grounding.
  • Exposure to agentic coding tools or AI agents (Cursor, Windsurf, Claude Code, Copilot agents); understanding of what makes a reusable "agent skill."
  • Awareness of the Model Context Protocol; bonus for any hands-on experience installing, configuring, or building an MCP server.
  • Comfort writing structured prompts and iterating on them; familiarity with common patterns (role prompting, few-shot, structured outputs).
  • Supporting tools: Git/GitHub/GitLab, VS Code, Microsoft 365, basic data fluency (CSV, JSON, SQL, or markdown); low-code platforms (Power Automate or n8n) a plus.
  • Strong written communication, curiosity, self-direction, and professional maturity to operate in a structured corporate environment.
  • Ability to support a 10-15 hours per week, onsite schedule.

Taking care of our people is a top priority at Leonardo DRS. We are proud to offer competitive salaries and comprehensive benefits, including medical, dental, and vision coverage, a company contribution to a health savings account, telemedicine, life and disability insurance, legal insurance, and a 401(k) savings plan. We champion wellness programs that focus on physical, emotional, and financial well-being. We develop our talent by offering programs and activities to support career-growth, professional development, and skill enhancement. And we understand there is more to life than work, and the importance of offering flexible work schedules with our 9/80 program, competitive vacation, health/emergency leave, paid parental leave, and community service hours.
*Some employees are eligible for limited benefits only
Leonardo DRS, Inc. and its subsidiaries provide equal opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. #LEL
Our Vision. To be the leading mid-tier defense technology company in the U.S.
Our Values. The Leonardo DRS culture is defined by our Core Values and Principles:
- Integrity
- Agility
- Excellence
- Customer Focus
- Community & Respect
- Innovation
We strive to uphold them in all aspects of our business practices to inspire our employees and provide outstanding support for our customers.

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