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Remote Integration Engineer Jobs in Colorado (NOW HIRING)

Performacentric

ML Engineer

Denver, CO · On-site +1

Remote (Preferred U.S. Time Zones) Employment Type: Full-Time Company: Performacentric About ... Integrate AI solutions with CRM, ERP, communication, and business systems. * Implement ...

Releady

Principal Full Stack Engineer (Remote)

Denver, CO · Remote

$85 - $100/hr

Developers own setup, testing, and integration testing without handing work off across silos, which ... Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ...

Kaav Inc.

Remote Healthcare EDI Engineer III

Denver, CO · Remote

$107K - $144K/yr

Integrations Software Engineer III This position is responsible for designing, architecting, implementing, and testing data integration solutions. This includes managing inbound and outbound data ...

Lockheed Martin

Embedded Software Engineer Staff

Boulder, CO · On-site +1

$138K - $182K/yr

... engineer to support ongoing programs and internal research and development efforts focused on ... remote sensing systems. You will work on designing, developing, testing, and integrating software ...

Booz Allen Hamilton

Ground System Engineer

Aurora, CO · On-site +1

$99K - $225K/yr

If this sounds like you, come join Booz Allen's new Remote Sensing Systems Engineering and Integration (SE&I) team to work on the military's space programs. As a Ground Systems Engineer on our team ...

KORE1 Technologies

Principal Engineer

Denver, CO · Remote

... remote. Why This Role Exists We operate a large-scale, multi-tenant SaaS platform supporting ... High-volume transaction and integration workloads across distributed systems * Complex API ...

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Remote Integration Engineer information

See Colorado salary details

$46.8K

$130.7K

$182.4K

How much do remote integration engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote integration engineer in Colorado is $130,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $147,200.00 per year, depending on experience, location, and employer.

What is a Remote Integration Engineer job?

A Remote Integration Engineer is responsible for connecting software systems, APIs, and databases to ensure seamless data flow and functionality across platforms. They work remotely to develop, troubleshoot, and maintain integrations between different applications, often using cloud-based services. Their role requires expertise in programming, APIs, and system architecture to optimize automation and interoperability. Additionally, they collaborate with development teams, product managers, and clients to meet business needs.

What are the typical responsibilities of a Remote Integration Engineer on a day-to-day basis?

A Remote Integration Engineer typically spends their days designing, developing, and maintaining integrations between different software systems and platforms. This often involves working with APIs, troubleshooting data transfer issues, and collaborating with other engineering or client teams to understand technical requirements. Additionally, you may participate in remote meetings, document integration processes, and provide support during deployments. The role requires balancing independent hands-on technical tasks with regular communication to ensure solutions align with business needs and project goals.

What are the key skills and qualifications needed to thrive in the Remote Integration Engineer position, and why are they important?

To excel as a Remote Integration Engineer, you need strong problem-solving skills, experience with API integration, and a solid background in computer science or a related field. Familiarity with integration platforms (like MuleSoft or Dell Boomi), scripting languages (such as Python or JavaScript), and certifications in cloud technologies or specific integration tools are highly valued. Excellent remote communication, time management, and collaboration skills help you coordinate effectively with distributed teams and clients. These skills are vital for delivering seamless, reliable integration solutions across different systems while working independently in a remote environment.

What are the most commonly searched types of Integration Engineer jobs in Colorado? The most popular types of Integration Engineer jobs in Colorado are:
What are popular job titles related to Remote Integration Engineer jobs in Colorado? For Remote Integration Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Integration Engineer jobs in Colorado look for? The top searched job categories for Remote Integration Engineer jobs in Colorado are:
What cities in Colorado are hiring for Remote Integration Engineer jobs? Cities in Colorado with the most Remote Integration Engineer job openings:
Remote Integration Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Greeley, CO • Remote

Other

Posted 26 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