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Generative Ai Prompt Writing Jobs in Colorado (NOW HIRING)

Design flows, patterns, and guardrails that integrate generative AI from ideation through operations. * Lead with context engineering: Apply and guide strategies like prompt templating, embeddings ...

Senior AI Software Engineer

Denver, CO · On-site

$126K - $166K/yr

The Opportunity The Generative AI Innovation Team is transforming how Litera-and its clients ... Deep, hands-on experience with Large Language Models - including context engineering, prompt design ...

Apply and guide advanced Generative AI techniques, including prompt engineering, model evaluation, grounding, safety guardrails, and responsible AI practices, to solve complex client business ...

Apply advanced Generative AI techniques, including prompt engineering, model evaluation, grounding, safety guardrails, and responsible AI practices, to solve client business problems * Leverage AI ...

Integrate Generative AI capabilities (LLMs, multimodal models) into solutions * Deliver end-to-end AI solutions from ideation to production deployment * Design prompt templates and implement ...

... generative AI, agentic AI, and natural language processing required. Strong understanding of large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and autonomous ...

... generative AI, agentic AI, and natural language processing required. * Strong understanding of large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and autonomous ...

Senior AI Automation Engineer

Denver, CO

$107K - $140K/yr

Experience applying generative AI, large language models, embeddings, vector databases, retrieval-augmented generation, prompt engineering, and agent workflows to business problems. Programming ...

Senior Software Engineer

Denver, CO · On-site +1

$126K - $166K/yr

Lead the evaluation, integration, and responsible deployment of generative AI capabilities within ... prompt-driven workflows * Knowledge of data pipeline architecture, data APIs, and cloud data ...

Senior Software Engineer

Denver, CO · On-site +1

$126K - $166K/yr

Lead the evaluation, integration, and responsible deployment of generative AI capabilities within ... prompt-driven workflows * Knowledge of data pipeline architecture, data APIs, and cloud data ...

... Generative AI, transformative technologies, and creative design. We can enhance customer ... prompt workflows, tool use or function calling, retrieval-augmented generation (RAG), or multi ...

Cyber - AWS Cloud Security - Manager

Denver, CO · On-site

$114K - $154K/yr

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS ... Effective written and verbal communication skills * Meticulous attention to detail and quality of ...

Showing results 41-60

Generative Ai Prompt Writing information

What is generative AI prompt writing?

Generative AI prompt writing involves crafting effective instructions or queries, known as prompts, to guide artificial intelligence models like ChatGPT or DALL-E in producing desired outputs. Prompt writers must understand how these models interpret language and structure their prompts to achieve specific results, whether that's generating text, images, or other creative content. This role requires creativity, technical understanding, and iterative testing to refine prompts for optimal performance. Effective prompt writing can significantly enhance the quality and relevance of AI-generated content.

What are some common challenges faced by generative AI prompt writers in ensuring high-quality outputs?

Generative AI Prompt Writers often encounter challenges such as crafting prompts that yield accurate, relevant, and unbiased responses from AI systems. Balancing creativity with clarity is key, as overly vague or complex prompts can lead to inconsistent outputs. Additionally, prompt writers must stay updated with evolving AI model behaviors and regularly experiment to refine their techniques, ensuring outputs meet project goals and ethical standards. Collaboration with developers, product teams, and subject matter experts is also crucial to continuously improve prompt effectiveness.

What are the key skills and qualifications needed to thrive as a generative AI prompt writer, and why are they important?

To thrive as a Generative AI Prompt Writer, you need strong skills in creative writing, critical thinking, and a solid understanding of AI language models, often supported by experience in content creation or computational linguistics. Familiarity with AI platforms such as OpenAI's GPT, prompt engineering tools, and basic programming or scripting knowledge are typically required. Exceptional communication, attention to detail, and adaptability help individuals craft effective prompts and collaborate with interdisciplinary teams. These skills ensure prompts are clear, relevant, and optimized for desired AI outputs, directly impacting the effectiveness and reliability of AI-generated content.

What are popular job titles related to Generative Ai Prompt Writing jobs in Colorado?

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The top searched job categories for Generative Ai Prompt Writing jobs in Colorado are:

What cities in Colorado are hiring for Generative Ai Prompt Writing jobs?

Cities in Colorado with the most Generative Ai Prompt Writing job openings:

Gen AI Sr. Engineer (Vertex AI / Python / ADK)

ADDSOURCE

Denver, CO • On-site

Other

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Role: Gen AI Sr. Engineer (Vertex AI / Python / ADK)

Experience: - Min 8+ Years

Location: - Denver, CO (Onsite)

Seeking an experienced Gen AI Sr. Engineer to design, develop, deploy, and govern scalable Agentic AI solutions using Python, ADK, LLMs, multi-agent systems, Google Cloud Platform, Terraform, and CI/CD, while establishing architectural standards, AI governance, observability, and enterprise-grade AI application delivery.

Responsibilities

AI Agent Development (40%) Design, develop, and maintain AI agents and AI-powered applications using Python and ADK. Develop reusable agent frameworks, orchestration workflows, and integrations. Build intelligent workflows leveraging LLMs, RAG, tool calling, and multi-agent systems.

Ensure reliability, scalability, observability, and performance of AI agents. Cloud Deployment & Operations (25%) Deploy, monitor, and optimize AI applications and agents on Google Cloud Platform. Manage cloud-native services, APIs, compute resources, and AI infrastructure. Implement monitoring, logging, security, and operational best practices. Optimize infrastructure and application performance for cost and efficiency.

Collaboration & Integration (15%) Partner with data scientists, analysts, architects, and business stakeholders.

Translate business requirements into AI-enabled technical solutions. Integrate AI agents into existing enterprise applications and workflows. Participate in solution design, architecture reviews, and stakeholder discussions. Infrastructure Automation (10%) Develop Infrastructure as Code (IaC) solutions using Terraform. Automate environment provisioning, deployments, and cloud configurations.

Implement CI/CD pipelines supporting AI application lifecycles. Quality Engineering & Continuous Improvement (5%) Perform unit testing, integration testing, and troubleshooting. Improve agent evaluation, observability, and operational excellence.

Resolve production issues and optimize solution performance. Other Duties (5%) Support innovation initiatives and continuous learning. Contribute to AI best practices, standards, and reusable frameworks.

Educational Qualifications: -

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

Programming & Development Python (Expert level) Object-Oriented Programming (OOP) REST API Development Microservices Architecture Git / GitHub Agentic AI & Generative AI Agent Development Kit (ADK) Agentic AI solutions Multi-Agent Systems

Prompt Engineering LLM Integration (Gemini, OpenAI, Claude, etc.) Tool Calling and Function Calling AI Agent Orchestration Frameworks Google Cloud Platform (Google Cloud Platform) Vertex AI Cloud Run Cloud Functions Cloud Storage Pub/Sub BigQuery IAM Monitoring & Logging Cloud Build Infrastructure & DevOps Terraform CI/CD Pipelines Docker Kubernetes (GKE) Infrastructure as Code (IaC) Testing & Operations Unit Testing Integration

Testing Debugging & Troubleshooting

Skills

GenAI, AgenticAI, Python, ADK, VertexAI, Cloud

VeeRteq Solutions is an Equal Opportunity Employer