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Contract Generative Ai Prompt Engineer Jobs in Colorado

Cherry Bekaert

AI Prompt and Skills Engineer

Denver, CO

$74K - $95K/yr

As AI Prompt and Skills Engineer, you will: * Writes, tests and refines prompts across Tax, Assurance, Advisory and Wealth Management use cases, following the architectural standards and prompt ...

Stantec

Generative AI Developer

Denver, CO · On-site

$104K - $152K/yr

... GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and ... Establish and enforce governance for model usage, prompt and tool management, safety controls, data ...

Palnar

ONLY W2 | AI Engineer@ Denver, Co

Denver, CO · On-site

... other generative AI tools. The ideal candidate will be able to design, develop, and deploy AI ... Knowledge of ML pipelines, APIs, and prompt engineering. Excellent problem-solving, communication ...

Computer Enterprises, Inc.

AI Architect

Almont, CO · On-site

$100 - $120/hr

Foster City, CA (100% Onsite) Duration: 12 month initial contract Pay: $100-$120/hour W2 Overview ... Experience building AI applications using RAG, vector databases, embeddings, and prompt engineering ...

eTeam

Generative AI Developer

Denver, CO · On-site

Job Summary : eTeam is a company looking for a Generative AI Developer. The role involves strong Python development and experience with various AI and machine learning frameworks, focusing on ...

GEI Consultants

AI Engineer

Denver, CO

$110K - $150K/yr

Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure ... Experience with Generative AI Large Language Models (LLMs), including solution development and fine ...

GEI Consultants

AI Engineer

Denver, CO · On-site

Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure ... Experience with Generative AI Large Language Models (LLMs), including solution development and fine ...

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All JobsContract Generative Ai Prompt Engineer JobsContract Generative Ai Prompt Engineer Jobs in Colorado

Contract Generative Ai Prompt Engineer information

What is the difference between Contract Generative Ai Prompt Engineer vs Data Scientist?

AspectContract Generative Ai Prompt EngineerData Scientist
CredentialsTypically requires knowledge of AI, NLP, and prompt engineering; often a background in computer science or related fieldsRequires degrees in statistics, mathematics, or computer science; often with certifications in data analysis or machine learning
Work EnvironmentContract-based, project-specific, often remote or freelanceFull-time, in-house or remote, working with data teams
Industry UsagePrimarily in AI development, chatbot creation, and NLP applicationsAcross industries for data analysis, predictive modeling, and business insights

The Contract Generative Ai Prompt Engineer focuses on designing prompts for AI models, mainly in NLP and AI applications, often on a contract basis. In contrast, Data Scientists analyze data to derive insights, build models, and support decision-making. While both roles require technical skills, their core responsibilities and work environments differ significantly.

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Generative AI Automation Engineer - Remote Job

EnthuZiastic

Greeley, CO • Remote

Full-time

Re-posted 13 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply