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Ai Prompt Engineer Entry Level Jobs in Arkansas (NOW HIRING)

AAIT Health

AI Engineer

Little Rock, AR · On-site

Engineer safety, privacy, and compliance into AI workflows, including PHI-safe processing, audit logs, role-based access, minimum-necessary data, prompt/data redaction, and secure storage. * Evaluate ...

AAIT Health LLC

AI Engineer

Little Rock, AR · On-site

Engineer safety, privacy, and compliance into AI workflows, including PHI-safe processing, audit logs, role-based access, minimum-necessary data, prompt/data redaction, and secure storage. * Evaluate ...

Varsity Tutors

ChatGPT Tutor

Bentonville, AR · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Varsity Tutors

ChatGPT Tutor

Fort Smith, AR · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Varsity Tutors

ChatGPT Tutor

Conway, AR · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Varsity Tutors

ChatGPT Tutor

Fayetteville, AR · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Walmart

(USA) Software Engineer III

Cave Springs, AR · On-site

$90K - $180K/yr

Generative AI: Experience developing and integrating Generative AI solutions, including LLM-based applications, prompt engineering, and AI-powered developer or business solutions. * RAG & MCP:

Walmart

(USA) Software Engineer III

Gravette, AR · On-site

$90K - $180K/yr

Generative AI: Experience developing and integrating Generative AI solutions, including LLM-based applications, prompt engineering, and AI-powered developer or business solutions. * RAG & MCP:

Walmart

(USA) Software Engineer III

Centerton, AR · On-site

$90K - $180K/yr

Generative AI: Experience developing and integrating Generative AI solutions, including LLM-based applications, prompt engineering, and AI-powered developer or business solutions. * RAG & MCP:

Walmart

(USA) Software Engineer III

Rogers, AR · On-site

$90K - $180K/yr

Generative AI: Experience developing and integrating Generative AI solutions, including LLM-based applications, prompt engineering, and AI-powered developer or business solutions. * RAG & MCP:

Walmart

(USA) Software Engineer III

Bella Vista, AR · On-site

$90K - $180K/yr

Generative AI: Experience developing and integrating Generative AI solutions, including LLM-based applications, prompt engineering, and AI-powered developer or business solutions. * RAG & MCP:

Walmart

(USA) Software Engineer III

Greenland, AR · On-site

$90K - $180K/yr

Generative AI: Experience developing and integrating Generative AI solutions, including LLM-based applications, prompt engineering, and AI-powered developer or business solutions. * RAG & MCP:

Walmart

(USA) Software Engineer III

Fayetteville, AR · On-site

$90K - $180K/yr

Generative AI: Experience developing and integrating Generative AI solutions, including LLM-based applications, prompt engineering, and AI-powered developer or business solutions. * RAG & MCP:

Walmart

(USA) Software Engineer III

Tontitown, AR · On-site

$90K - $180K/yr

Generative AI: Experience developing and integrating Generative AI solutions, including LLM-based applications, prompt engineering, and AI-powered developer or business solutions. * RAG & MCP:

Walmart

(USA) Software Engineer III

Elm Springs, AR · On-site

$90K - $180K/yr

Generative AI: Experience developing and integrating Generative AI solutions, including LLM-based applications, prompt engineering, and AI-powered developer or business solutions. * RAG & MCP:

Walmart

(USA) Software Engineer III

Lowell, AR · On-site

$90K - $180K/yr

Generative AI: Experience developing and integrating Generative AI solutions, including LLM-based applications, prompt engineering, and AI-powered developer or business solutions. * RAG & MCP:

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Ai Prompt Engineer Entry Level information

What is an AI prompt engineer at the entry level?

An entry-level AI Prompt Engineer is a professional who specializes in designing, testing, and refining prompts used to interact with AI language models like ChatGPT. Their main responsibility is to create effective prompts that guide AI systems to generate accurate, relevant, and useful responses for specific tasks or applications. Entry-level prompt engineers often work closely with data scientists, developers, and product teams to improve AI outputs, ensuring the technology meets user needs. This role requires strong analytical skills, creativity, and a basic understanding of natural language processing and machine learning concepts.

What are some common challenges faced by entry-level AI prompt engineers when working with large language models?

Entry-level AI Prompt Engineers often encounter challenges such as crafting effective prompts that elicit accurate and relevant responses from large language models. Balancing specificity and creativity while avoiding ambiguity can be tricky, and it's common to iterate multiple times before achieving the desired output. Additionally, understanding the model's limitations and biases is essential to avoid unintended results. Collaboration with data scientists and software engineers is frequent, as prompt engineers may need to integrate their work into larger AI systems or workflows.

What are the key skills and qualifications needed to thrive as an entry-level AI prompt engineer, and why are they important?

To thrive as an Entry-Level AI Prompt Engineer, you need a foundational understanding of natural language processing, prompt design, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with AI platforms like OpenAI, experience with prompt engineering tools, and basic knowledge of Python or similar languages are typically expected. Strong analytical thinking, creativity, and effective communication help you craft clear, high-performing prompts and collaborate with cross-functional teams. These skills are essential for developing accurate, user-friendly AI outputs and ensuring the practical success of AI-driven projects.

What is the difference between Ai Prompt Engineer Entry Level vs Ai Content Specialist?

AspectAi Prompt Engineer Entry LevelAi Content Specialist
Required CredentialsBasic knowledge of AI, programming, or linguistics; often a degree in related fieldsWriting, editing, or marketing background; often a degree in communications or related fields
Work EnvironmentTech companies, AI startups, or freelance projectsMedia agencies, content creation firms, or corporate marketing teams
Employer & Industry UsagePrimarily in AI development and machine learning industriesIn advertising, media, and digital marketing sectors

While both roles involve working with digital content and technology, Ai Prompt Engineers focus on designing prompts for AI models, whereas Ai Content Specialists create and manage content for various platforms. The roles share some technical skills but differ in their core responsibilities and industry applications.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize AI language models for various applications. The role requires skills in natural language processing, creativity, and familiarity with AI tools like GPT, with job growth driven by expanding AI adoption across industries.

How to get into AI prompt engineering?

To enter AI prompt engineering, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn to craft effective prompts through practice and understanding of model behavior; certifications in AI or data science can also be beneficial.

What are the most commonly searched types of Ai Prompt Engineer jobs in Arkansas?

The most popular types of Ai Prompt Engineer jobs in Arkansas are:

What are popular job titles related to Ai Prompt Engineer Entry Level jobs in Arkansas?

For Ai Prompt Engineer Entry Level jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Ai Prompt Engineer Entry Level jobs in Arkansas look for?

The top searched job categories for Ai Prompt Engineer Entry Level jobs in Arkansas are:

What cities in Arkansas are hiring for Ai Prompt Engineer Entry Level jobs?

Cities in Arkansas with the most Ai Prompt Engineer Entry Level job openings:

Ai Prompt Engineer Entry Level jobs near you
Infographic showing various Ai Prompt Engineer Entry Level job openings in Arkansas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 91% In-person, and 9% Hybrid job distribution.

AI Engineer

AAIT Health

Little Rock, AR • On-site

Full-time

Re-posted 20 days ago

Job description

Description:

About Us


AAIT Health (Advanced Artificial Intelligence Technology Health) is building a modern, HIPAA-compliant Electronic Medical Records (EMR) platform. We’re focused on turning today’s best AI and LLM capabilities into reliable, secure, production-grade workflows embedded directly into the EMR experience, so clinicians and staff can work smarter, faster, and with less administrative burden.


What You’ll Do


  • Build agentic AI systems that can execute multi-step workflows (e.g., chart review ? summarize ? recommend next actions ? draft documentation ? route tasks) with appropriate human oversight.


  • Design and implement tool-using LLM workflows (function calling / tools, retrieval, structured outputs, planner–executor patterns, and guardrails).


  • Integrate AI capabilities into our EMR via backend services and APIs (e.g., .NET Core services, MySQL, and modern frontend clients).


  • Implement retrieval-augmented generation (RAG) and clinical knowledge workflows that query patient context, incorporate medical reference content, and cite sources with traceability.


  • Engineer safety, privacy, and compliance into AI workflows, including PHI-safe processing, audit logs, role-based access, minimum-necessary data, prompt/data redaction, and secure storage.


  • Evaluate and improve quality using automated and human-in-the-loop evaluation (e.g., grounding, hallucination rates, task success, latency, and cost).


  • Deploy and operate AI services in production, including monitoring, rate limiting, fallbacks, caching, incident response, and model/provider switching.


  • Collaborate cross-functionally with product, clinical SMEs, security/compliance, and engineering to ship AI-powered features that users trust.

Role Details


  • Full-time position with presence in the office required.


  • Core schedule: Monday–Thursday 8:00 a.m. to 5:00 p.m. and Friday 8:00 a.m. to 12:00 p.m., with occasional work outside regular business hours as needed.


  • Travel may be required.


  • The position operates in a professional office environment and involves significant time writing, typing, speaking, listening, standing, sitting, walking, and reaching.


  • Operation of standard office equipment, non-CDL motor vehicles, mobile phones, and related technology is expected.
Requirements:

You Might Be a Fit If


  • You have strong software engineering fundamentals and production experience (APIs, testing, debugging, performance).


  • You have hands-on experience building with LLMs (OpenAI/Anthropic/others), including tool/function calling, structured outputs, and retrieval-augmented generation (RAG).


  • You’ve integrated AI into real products (not just notebooks or demos) and understand the tradeoffs of latency, cost, and quality.


  • You can design for reliability with deterministic interfaces, schema validation, retries, fallbacks, and evaluation.


  • You are comfortable working across backend and data, and optionally some frontend integration.


  • You communicate clearly, enjoy collaborating with cross-functional partners, and can explain complex AI behavior to non-technical stakeholders.


  • You are comfortable operating in a startup-like environment, prioritizing impact and iterating quickly while maintaining quality.


Bonus Points


  • Experience in healthcare, EMR, or clinical workflows; familiarity with standards such as HL7/FHIR.


  • Experience with .NET Core, MySQL, and cloud deployment (Azure is a plus).


  • Familiarity with security and compliance practices such as HIPAA and SOC2-style controls, including RBAC and audit logging.


  • Experience building evaluation pipelines (golden datasets, offline eval, red-teaming, prompt regression tests).


  • Experience with vector databases/search or building retrieval layers over relational and document stores.


  • Knowledge of PHI de-identification, redaction, and safe data handling.


Tech Stack


  • Frontend: React + Vite + TypeScript


  • Backend: .NET Core services


  • Database: MySQL


  • Cloud: Azure, AWS


  • AI: LLM APIs, retrieval/vector search, observability & evaluation tooling