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Flexible Remote Prompt Engineering Jobs in Draper, UT

Sr. Software Engineer

UT · Remote

$125K - $165K/yr

Experience with machine learning or generative AI prompt engineering * Caching/NoSQL datastores ... Remote-friendly policy * Medical/vision/dental insurance * Life, short-term disability, and ...

AI Solutions Architect

Salt Lake City, UT · On-site +1

$61 - $80.25/hr

Comfort with concepts such as RAG pipelines, agentic workflows, prompt engineering, cloud ... Our world-class work environment encompasses flexible and remote work options, a commitment to ...

You will collaborate closely with developers and QA engineers to maintain platform stability ... Flexible remote/hybrid work options. * Contribute to cutting-edge recruitment and analytics ...

Junior Salesforce Developer

Salt Lake City, UT · Remote

$56.75 - $75.25/hr

Salesforce Platform Developer I and/or Platform Developer II certifications. Nice-to-Haves ... Flexible, remote work environment. * The opportunity to make a significant impact on our business ...

Junior Salesforce Developer

Salt Lake City, UT · On-site +1

$53.25 - $70.50/hr

Salesforce Platform Developer I and/or Platform Developer II certifications. Nice-to-Haves ... Flexible, remote work environment. * The opportunity to make a significant impact on our business ...

Following initial onboarding, training, and integration, we are open to a flexible remote work ... The position is responsible for designing all aspects of the mechanical and piping engineering ...

We have built a flexible work environment where new ideas are encouraged and everyone is a ... You have experience managing remote teams * The ability to thrive on a fast pace environment with ...

... remote or hybrid teams * Foster industry best practices and technology decision making from the ... Paid holidays and flexible paid time away * Employee/Friends/Family Discounts * Onsite health ...

... remote or hybrid teams * Foster industry best practices and technology decision making from the ... Paid holidays and flexible paid time away * Employee/Friends/Family Discounts * Onsite health ...

... remote and hybrid environments. * Strong knowledge of software engineering best-practices ... Flexible spending and health savings options (where applicable) * Health and wellness support ...

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Showing results 1-20

Flexible Remote Prompt Engineering information

See Draper, UT salary details

$44.4K

$95.1K

$136.5K

How much do flexible remote prompt engineering jobs pay per year?

As of Aug 28, 2026, the average yearly pay for flexible remote prompt engineering in Draper, UT is $95,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $109,800.00 per year, depending on experience, location, and employer.

What is the difference between Flexible Remote Prompt Engineering vs Chatbot Developer?

AspectFlexible Remote Prompt EngineeringChatbot Developer
Required SkillsPrompt design, AI interaction, language understandingProgramming, API integration, chatbot frameworks
Work EnvironmentRemote, AI-focused teams, flexible hoursRemote or on-site, software development teams
Industry UsageAI, NLP, tech startups, large tech companiesCustomer service, tech companies, AI firms

Flexible Remote Prompt Engineering and Chatbot Developer roles share overlapping skills in AI and remote work environments. However, Prompt Engineers focus on designing effective prompts for AI models, while Chatbot Developers build and program chatbot systems. Both roles are vital in AI-driven industries but differ in technical depth and specific responsibilities.

Infographic showing various Flexible Remote Prompt Engineering job openings in Draper, UT as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, and 3% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $95,079 per year, or $45.7 per hour.

Senior Java Developer (Business Automation & AI)

Taylorsville, UT • Remote

$58.50 - $74.75/hr

Contractor

Re-posted 21 days ago


Job description

Job Title: Senior Java Developer (Business Automation & AI)
Location: Remote, USA

Let’s create our future together at The AES Group!

About The AES Group

The AES Group is a premier technology staffing and services company that has been bringing businesses and talent together for over 20 years to deliver innovative technology solutions that create meaningful impact. AES helps enterprises, including Fortune 500 organizations, engage customers, empower employees, and transform operations through cloud, data, AI, and emerging technologies.

We’re hiring a Senior Java Developer (3–5 years) to help modernize business automation and self-service support platforms. You’ll maintain and migrate complex decision logic using Drools and Kogito, and support the build-out of AI chatbot infrastructure. This role also focuses on converting legacy documentation into a high-performance Knowledge Base using AWS Bedrock and RAG (Retrieval-Augmented Generation) patterns.
 

What you’ll do

  • Design, develop, and maintain decision services using Drools (DRL); migrate legacy workflows to cloud-native Kogito microservices.
  • Build and manage AWS Bedrock Knowledge Bases to enable accurate, context-aware AI responses.
  • Create automated pipelines to extract, clean, and convert legacy documentation into optimized formats (Markdown/vector-ready), stored in Amazon S3.
  • Develop secure, high-performance REST APIs using Quarkus or Spring Boot to integrate chatbot capabilities into Java applications.
  • Deploy and scale business automation services in Kubernetes/OpenShift environments.
  • Collaborate with engineering and product stakeholders to improve decision accuracy, performance, and maintainability.

Required skills & experience

  • 3–5 years of professional Java experience (8/11/17+) with Spring Boot or Quarkus.
  • Hands-on experience writing/debugging Drools rules and implementing DMN (Decision Model and Notation).
  • Proven experience with Kogito for cloud-native business processes.
  • Experience with AWS Bedrock (Knowledge Bases, Agents, and/or prompt engineering).
  • Strong working knowledge of Amazon S3 for document storage and metadata tagging.
  • Experience converting legacy HTML/XML documentation into structured formats (Markdown/JSON) for AI usage.
  • Experience with Git, CI/CD pipelines, Docker, and Kubernetes.

Nice to have

  • Experience with vector databases (Amazon OpenSearch, Pinecone, Milvus).
  • Python exposure for document parsing/automation.
  • Knowledge of BPMN 2.0 standards.
  • AWS certifications (Developer Associate and/or Machine Learning Specialty).

Ready to make an impact? Apply now and join us on our journey!