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Prompt Engineer Jobs in Colorado (NOW HIRING)

Drive platform reliability, observability, and continuous integration by establishing robust prompt-engineering guardrails, extensive automated simulations, and comprehensive CloudWatch monitoring ...

Experience with Large Language Models/Generative AI and Prompt Engineering. Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development * Familiarity with Linux ...

Drive platform reliability, observability, and continuous integration by establishing robust prompt-engineering guardrails, extensive automated simulations, and comprehensive CloudWatch monitoring ...

Staff Engineer - Java / AWS

Englewood, CO · On-site

$110K - $157K/yr

Drive platform reliability, observability, and continuous integration by establishing robust prompt-engineering guardrails, extensive automated simulations, and comprehensive CloudWatch monitoring ...

Staff Engineer - Java / AWS

Englewood, CO · On-site

$110K - $157K/yr

Drive platform reliability, observability, and continuous integration by establishing robust prompt-engineering guardrails, extensive automated simulations, and comprehensive CloudWatch monitoring ...

Staff Engineer - Java / AWS

Englewood, CO · On-site

$110K - $157K/yr

Drive platform reliability, observability, and continuous integration by establishing robust prompt-engineering guardrails, extensive automated simulations, and comprehensive CloudWatch monitoring ...

Develop and iterate on prompt engineering strategies to ensure consistent, accurate, and useful outputs from large language models (LLMs) * Prototype and test AI workflows using tools such as LLM ...

Job Summary The AI Engineer is a midlevel individual contributor on PTMA's Data & AI team ... including prompt design, custom skills, and configuration, under the direction of senior team ...

Senior LangChain Engineer

Denver, CO · On-site

$107K - $147K/yr

Develop solutions involving prompt engineering, retrieval-augmented generation (RAG), tool calling, and AI agents * Deploy and maintain AI applications within a major cloud environment * Collaborate ...

Develop prompt engineering standards, reusable prompt libraries, and AI workflows * Create internal AI tools that increase technician productivity and automate repetitive work * Evaluate emerging AI ...

Prompt Engineering Validation * AI Model Validation & Evaluation * API Testing (Postman, REST APIs, Swagger) * Python * Test Automation (Selenium / Playwright / PyTest) * AI Evaluation Metrics ...

Your work will establish engineering standards and enable scalable, cost-aware AI adoption across ... Develop reusable prompt templates, steering files, and workspace configurations to standardize AI ...

Senior AI Engineer

Lakewood, CO · On-site

$130K - $180K/yr

Your role will also include working on retrieval-augmented generation infrastructure and prompt engineering tasks, and you will contribute significantly to the establishment and maintenance of best ...

Showing results 21-40

Prompt Engineer information

See Colorado salary details

$10

$49

$92

How much do prompt engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for prompt engineer in Colorado is $49.51, according to ZipRecruiter salary data. Most workers in this role earn between $37.64 and $63.94 per hour, depending on experience, location, and employer.

What is a prompt engineer?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

What does a prompt engineer do?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What skills and qualifications are needed to be a prompt engineer?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

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

The most popular types of Prompt Engineer jobs in Colorado are:

What are popular job titles related to Prompt Engineer jobs in Colorado?

For Prompt Engineer jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Prompt Engineer jobs?

Cities in Colorado with the most Prompt Engineer job openings:

Infographic showing various Prompt Engineer job openings in Colorado as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $102,985 per year, or $49.5 per hour.

Senior Engineer - Java / AWS

Englewood, CO • On-site

EchoStar
Telecommunications • 1 - 5K employees

$96K - $137K/yr

Full-time

Medical, Retirement

Posted 18 days ago


EchoStar rating

7.0

Company rating: 7.0 out of 10

EchoStar

Based on 74 frontline employees who took The Breakroom Quiz


Job description

Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.

Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview.

The Cloud Contact Center team is seeking a Senior Developer to help design, develop, and support custom applications and integrations within our Amazon Connect platform. This individual will collaborate with internal teams to define requirements, implement scalable solutions, and enhance the overall efficiency of our enterprise contact center ecosystem. Collaborating closely with teams across Operations, IT, Sling, Sales, and Customer Support, this role focuses on creating innovative customer interaction workflows.

What Success Looks Like (Objectives):

  • Design, configure, and implement complex contact flows and reusable modules in Amazon Connect to optimize multi-channel customer journeys and intelligent skill-based routing

  • Develop high-performance, production-grade serverless functions and backend microservices in Java and Python to handle heavy data transformations and orchestrate integrations with enterprise third-party APIs

  • Design and implement responsive custom agent workspaces using React and the Amazon Connect Streams API to seamlessly embed telephony and telemetry controls into internal systems

  • Deploy and orchestrate agentic AI systems utilizing Large Language Models via Amazon Bedrock, including RAG frameworks and real-time agent assistance

  • Build and secure high-performance RESTful APIs through AWS API Gateway, establishing robust policies for authentication, authorization, and throttling

  • Drive platform reliability, observability, and continuous integration by establishing robust prompt-engineering guardrails, extensive automated simulations, and comprehensive CloudWatch monitoring

Skills, Experience and Requirements

Core Skills and Competencies (What you’ll bring):

  • Advanced technical expertise in building serverless backend microservices using Java and Python alongside secure RESTful API integrations
  • Proven capability in developing interactive, responsive web applications using React and JavaScript to interface with advanced telephony systems
  • Sophisticated AI application skills, specifically in implementing Retrieval-Augmented Generation (RAG) frameworks, vector spaces, prompt engineering, and orchestrating Large Language Models
  • Deep analytical expertise in managing low-latency databases, cloud storage, security identity management, and comprehensive system monitoring within the AWS ecosystem
  • Exceptional collaborative problem-solving skills to translate complex business needs into secure, scalable, and observable cloud solutions

Nice to have:

  • Experience designing, deploying, and optimizing enterprise-scale AWS Connect environments and multi-channel routing architectures

Minimum Requirements:

  • Minimum Education: Bachelor's Degree in Computer Science, Information Technology, or a related technical field

  • Minimum Experience: 4 years of experience in backend software engineering

  • Required Technical Skills: Must have at least 3 years of experience with:

    • Java and Python

    • Amazon Web Services (including Lambda, DynamoDB, S3, IAM, and CloudWatch)

#LI-CH2

Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. 

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.


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