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Remote Integration Engineer Jobs in Springfield, MA

CoorsTek

AI Deployment Engineer

East Granby, CT · On-site +1

... APIs and integrations, and deploying software into production or operational environments ... Salary range is subject to location, as this role can be remote. Roles and Responsibilities

FHR

MO416- Power Platform developer 64265

Hartford, CT · Remote

100% Remote. Our direct client has an opening for a Power Platform developer 64265 This position is ... Experience with backend integration and connecting Power Platform solutions with other systems.

Quora

iOS Engineer -Remote

Hartford, CT · Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Quora

iOS Engineer -Remote

Springfield, MA · Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

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All JobsIntegration Engineer JobsRemote Integration Engineer JobsRemote Integration Engineer Jobs in Springfield, MA

Remote Integration Engineer information

See Springfield, MA salary details

$44.3K

$123.8K

$172.9K

How much do remote integration engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote integration engineer in Springfield, MA is $123,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $139,500.00 per year, depending on experience, location, and employer.

What is a remote integration engineer?

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 does a remote integration engineer do?

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 as a remote integration engineer?

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 popular job titles related to Remote Integration Engineer jobs in Springfield, MA?

For Remote Integration Engineer jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Remote Integration Engineer jobs in Springfield, MA look for?

The top searched job categories for Remote Integration Engineer jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Remote Integration Engineer jobs?

Cities near Springfield, MA with the most Remote Integration Engineer job openings:

Remote Integration Engineer jobs near you
Infographic showing various Remote Integration Engineer job openings in Springfield, MA as of June 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,840 per year, or $59.5 per hour.

Generative AI Automation Engineer - Remote Job

Hartford, CT • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 25 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