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Prompt Engineering Internship Jobs in Decatur, GA

... interns needed to oversee statistical and analytical data analysis. The position works closely with ... Familiarity with agent-based workflows, prompt engineering, and evaluation frameworks * Exposure to ...

... interns needed to oversee statistical and analytical data analysis. The position works closely with ... Familiarity with agent-based workflows, prompt engineering, and evaluation frameworks * Exposure to ...

... interns needed to oversee statistical and analytical data analysis. The position works closely with ... Familiarity with agent-based workflows, prompt engineering, and evaluation frameworks * Exposure to ...

Develop and optimize LLM-powered features, including prompt engineering, Retrieval-Augmented ... internships and professional experience considered). * Demonstrated experience building and ...

Develop and optimize LLM-powered features, including prompt engineering, Retrieval-Augmented ... internships and professional experience considered). * Demonstrated experience building and ...

The ideal candidate will have a strong background in engineering principles and practices, with ... Experience mentoring junior colleagues and interns.

Prompt Engineering Internship information

See Decatur, GA salary details

$10

$18

$28

How much do prompt engineering internship jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for prompt engineering internship in Decatur, GA is $18.86, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $20.43 per hour, depending on experience, location, and employer.

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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Mgr Software Engineering

Mgr Software Engineering

RELX

Alpharetta, GA โ€ข On-site

Full-time

Medical, Life

Re-posted 19 days ago


Job description

Are you ready to lead analytics engineers in turning AI from experimentation into trusted, productiongrade capabilities-without compromising security or governance?

About the Business:

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below,

https://risk.lexisnexis.com

About the Team:

This position provides leadership, management, direction, and vision to data engineering and/or employees including offshore contractors/consultants and interns needed to oversee statistical and analytical data analysis. The position works closely with technology peers, product and project leaders/managers, as well as directing the successful completion and delivery of respective data components and any other related deliverables. The position is additionally expected to report progress to senior management. Additional responsibilities may include oversight of the department budget, identifying and supporting talent, and defining resource requirements and allocations.

About the Role:

This role leads to the Analytics Engineering function with a focus on embedding AI into delivery while ensuring strong InfoSec and data governance standards. It sits at the intersection of engineering, AI, and risk-driving practical adoption of AI in analytics workflows without compromising compliance or control.

Responsibilities:

Team Leadership & Delivery: Lead and support analytics engineers, ensuring clear priorities and consistent delivery. Remove blockers, drive accountability, and maintain pace across initiatives

AI Adoption in Analytics: Identify and prioritize high-impact AI use cases (e.g. LLM-driven parsing, enrichment, copilots). Embed AI into pipelines and workflows-not as experiments, but as part of production delivery. Guide teams on practical implementation and evaluation of AI outputs

InfoSec & Governance: Ensure all AI and data usage aligns with internal InfoSec, privacy, and regulatory requirements. Define and enforce standards for safe AI usage (e.g. PII handling, approved models, access control). Work closely with InfoSec and architecture teams on risk management and approvals

Data Quality & Control: Establish validation frameworks for AI outputs (e.g. Benchmarking, HITL, drift monitoring). Maintain strong data governance, lineage, and quality across analytics assets

Stakeholder Engagement: Partner with product, business, and platform teams to align priorities and use cases. Translating business needs into scalable analytics and AI solutions

Requirements:

  • Bachelor's Degree (Engineering/Computer Science preferred but not required); or equivalent experience required. Advanced degree preferred
  • Proven experience in Data and Scoring Engineering, data management and data strategy experience with technical knowledge along with management experience.
  • Strong background in analytics engineering / data engineering (SQL, data modelling, modern data platforms)
  • Experience applying AI/LLMs in production use cases, not just experimentation
  • Solid understanding of data governance, InfoSec, and regulatory considerations (PII, model risk, access control)
  • Proven experience leading teams and driving delivery in a fast-paced environment
  • Ability to balance innovation with control-moving quickly without introducing risk
  • Strong communication skills across both technical and business stakeholders

Nice to Have

  • Experience with platforms such as Databricks, Synapse, Power BI
  • Familiarity with agent-based workflows, prompt engineering, and evaluation frameworks
  • Exposure to regulated environments or sensitive data domains

Success Measures

  • AI capabilities embedded into core analytics workflows
  • Clear governance model for AI usage adopted across the team
  • Improved delivery pace and reduced rework through better coordination
  • High trust in data and AI output from business stakeholders

Working for You:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:


- Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
- Life Assurance Policies: Providing financial security for your loved ones.
- Modern Family Benefits: Support for maternity, paternity, and adoption needs.
- Long Service Award: Recognition for your dedication and loyalty.
- Celebratory Allowance/Gifts: Marking special occasions to celebrate with you.
- Flexible Benefits Plan : Offering you wider choice of services and products
- Employee Assistance Program : Access support for personal and work-related challenges.
- Flexible Working Arrangements: Balance work and personal life effectively.
- Access to Learning and Development Resources: Empowering your professional growth.

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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