ZipRecruiter

Log In

2

Intern Remote Ai Prompt Engineer Jobs in Missouri

Jobgether

$80K - $110K/yr

You will work in a remote environment where strong communication, problem-solving, and ownership ... Develop sophisticated prompt-engineering strategies to improve model performance, reliability, and ...

Delan Associates, Inc

AI Agentic Tester

Denver, MO · On-site +1

... Remote) Must-Have Skills AI Agentic Testing Functional Testing Generative AI Testing Large Language Models (LLMs) AI Agents & Agentic AI Retrieval-Augmented Generation (RAG) Prompt Engineering ...

Delan Associates, Inc.

AI Agentic Tester

Denver, MO · On-site +1

AI Agentic Tester Denver, MO (Remote) Must-Have Skills * AI Agentic Testing * Functional Testing ... Prompt Engineering Validation * AI Model Validation & Evaluation * API Testing (Postman, REST APIs ...

Jobgether

$100K - $120K/yr

Strong understanding of embeddings, retrieval tuning, reranking, prompt engineering, and AI/LLM ... Competitive annual salary of $100,000-$120,000 . * Full-time opportunity with a remote working ...

Jobgether

$79K - $104K/yr

This is a fully remote independent contractor opportunity within a globally distributed team, with ... Develop practical strategies for RAG, prompt engineering, evaluation, fine-tuning, model serving ...

Jobgether

Strong interest in or hands-on experience with AI tools, agent architectures, prompt engineering ... Fully remote, remote-first working environment. * Flexible working arrangements across Europe.

Jobgether

Strong LLM application development skills, including prompt engineering, evaluation, testing, and ... Fully remote working environment with the flexibility to work from anywhere. * One-time home office ...

New

Jobgether

... Large Language Models (LLMs), prompt engineering, RAG architectures, AI agent design ... Remote work flexibility. * Opportunity to contribute to practical AI use cases that improve ...

next page

Showing results 1-20

All JobsIntern Ai Prompt Engineer JobsIntern Remote Ai Prompt Engineer JobsIntern Remote Ai Prompt Engineer Jobs in Missouri

Intern Remote Ai Prompt Engineer information

What does a remote AI prompt engineer intern do?

A Remote AI Prompt Engineer Intern works on designing, testing, and refining prompts for artificial intelligence models, particularly those used in natural language processing. Their main responsibility is to craft effective prompts that optimize AI responses for accuracy and relevance. They may also analyze AI outputs, collaborate with teams to improve model performance, and document best practices. Since the role is remote, communication and self-management skills are essential. This internship provides valuable experience in AI development and prompt engineering.

What types of projects and responsibilities can I expect as a remote AI prompt engineer intern?

As a remote AI Prompt Engineer intern, you can expect to work on tasks such as designing, testing, and refining prompts for large language models to improve their accuracy and relevance. You'll likely collaborate with data scientists, software engineers, and other team members to analyze AI model outputs and iterate on prompt strategies. Typical responsibilities may also include documenting best practices, participating in team meetings, and contributing to ongoing research or product development. This role offers a hands-on learning experience in AI development while working in a supportive, remote environment.

What are the key skills and qualifications needed to thrive as a remote AI prompt engineer intern?

To thrive as an Intern Remote AI Prompt Engineer, you need a solid understanding of natural language processing concepts, critical thinking skills, and preferably some background in computer science or linguistics. Familiarity with AI platforms like OpenAI, prompt engineering tools, and collaborative work systems (such as GitHub or Slack) is commonly expected. Strong written communication, creativity, and adaptability are valuable soft skills for crafting effective prompts and collaborating with distributed teams. These skills are crucial for generating high-quality AI outputs and ensuring productive teamwork in a remote environment.

What is the difference between Intern Remote Ai Prompt Engineer vs Intern Remote Data Annotator?

AspectIntern Remote Ai Prompt EngineerIntern Remote Data Annotator
Required CredentialsBasic understanding of AI, programming, or related courseworkAttention to detail, basic computer skills
Work EnvironmentRemote, collaborative with AI teamsRemote, often independent annotation tasks
Industry UsageAI development, NLP projectsData labeling for machine learning
Search & Comparison IntentUnderstanding AI prompt roles, entry-level AI jobsData annotation roles, entry-level data jobs

The Intern Remote Ai Prompt Engineer focuses on creating and refining prompts for AI models, requiring some technical knowledge. In contrast, the Intern Remote Data Annotator primarily labels data to train AI systems, emphasizing accuracy and attention to detail. Both roles are remote and entry-level, but they serve different functions within AI development teams.

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

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

What are popular job titles related to Intern Remote Ai Prompt Engineer jobs in Missouri?

For Intern Remote Ai Prompt Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Intern Remote Ai Prompt Engineer jobs in Missouri look for?

The top searched job categories for Intern Remote Ai Prompt Engineer jobs in Missouri are:

What cities in Missouri are hiring for Intern Remote Ai Prompt Engineer jobs?

Cities in Missouri with the most Intern Remote Ai Prompt Engineer job openings:

Intern Remote Ai Prompt Engineer jobs near you

Senior AI/ML Engineer

Jobgether

Remote

$80K - $110K/yr

Full-time

Posted 9 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI/ML Engineer based in Netherlands.

This is a senior-level opportunity to architect and build an enterprise-grade Agentic AI orchestration platform from the ground up.
You will design scalable AI systems that combine large language models, retrieval, multi-agent workflows, and reusable AI components.
The role offers deep hands-on exposure to technologies such as Claude, LangGraph, RAG, vector databases, and MCP.
You will shape modular AI architectures that can support intelligent agents and reusable capabilities across enterprise use cases.
Beyond engineering, you will provide technical leadership and make key architectural decisions around scalability, security, and reliability.
You will work in a remote environment where strong communication, problem-solving, and ownership are essential.
This role is particularly suited to an experienced AI/ML professional who wants to influence the architecture of production-grade generative AI systems.

Accountabilities
  • Lead the architecture, design, development, and implementation of an enterprise-grade Agentic AI orchestration platform.
  • Design modular, reusable AI components and intelligent agents using a "Bricks" / multi-node architecture.
  • Develop production-grade LLM applications leveraging Claude APIs, LangGraph, LangChain, advanced prompt engineering, RAG, vector databases, MCP, and multi-agent workflows.
  • Define and implement agentic AI architectures that are scalable, maintainable, secure, and suitable for enterprise environments.
  • Build scalable APIs and backend services using Python and FastAPI, ensuring reliability and production readiness.
  • Design retrieval-augmented generation solutions and integrate vector databases to support accurate and context-aware AI applications.
  • Develop sophisticated prompt-engineering strategies to improve model performance, reliability, and consistency.
  • Establish AI security and responsible AI practices, particularly when working with enterprise or regulated data.
  • Provide technical leadership across architecture and engineering decisions, establishing best practices and guiding implementation.
  • Evaluate technical trade-offs involving scalability, performance, security, maintainability, and AI model capabilities.
  • Collaborate with technical and business stakeholders to translate complex requirements into robust AI solutions.
  • Troubleshoot complex technical challenges and continuously improve the platform's reliability, performance, and capabilities.
Requirements
  • 10+ years of overall experience in software engineering and/or AI/ML, with senior-level architecture and engineering responsibilities.
  • Strong professional experience building and operating LLM-based applications in production.
  • Advanced Python development skills and experience building production-quality backend systems.
  • Hands-on experience working with the Claude API, including integration into real-world AI applications.
  • Strong experience with LangGraph and/or LangChain, including orchestration of complex AI workflows.
  • Proven experience designing and implementing Agentic AI architectures and multi-agent systems.
  • Strong knowledge of Retrieval-Augmented Generation (RAG) and practical experience with vector databases.
  • Advanced prompt-engineering capabilities, with an understanding of techniques for improving LLM accuracy, reliability, and behavior.
  • Experience designing and developing scalable APIs using FastAPI.
  • Strong understanding of AI security, responsible AI, privacy, and enterprise AI governance.
  • Experience working with enterprise-scale or regulated data environments where security, compliance, and reliability are critical.
  • Strong software architecture skills and the ability to make sound technical decisions in complex environments.
  • Proven technical leadership capabilities, including influencing architecture, guiding engineering practices, and mentoring technical teams.
  • Excellent communication, collaboration, analytical thinking, and complex problem-solving skills.
  • Ability to work independently in a remote environment while maintaining strong ownership and delivery focus.
Benefits
  • Fully remote work model.
  • Contract engagement.
  • Opportunity to work on an enterprise-grade Agentic AI platform using advanced generative AI technologies.
  • Hands-on exposure to Claude, LangGraph, LangChain, RAG, vector databases, MCP, multi-agent systems, and modern AI architectures.
  • Opportunity to influence architectural decisions and shape reusable AI components and intelligent-agent capabilities.
  • Senior-level technical ownership with significant impact on the design and evolution of the platform.
  • Experience working with enterprise and potentially regulated data environments.
  • International, technology-focused environment with opportunities to solve complex AI/ML engineering challenges.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
#LI-CL1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply