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Remote Slack Software Engineer Jobs in Boca Raton, FL

MDG Solutions

Full Stack Engineer

Boca Raton, FL · On-site +1

We are looking for a Full Stack Software Engineer who builds for the web end to end and owns what ... We currently work a hybrid model of Mondays and Fridays remote and Tuesday - Thursday in our Boca ...

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Remote Slack Software Engineer information

See Boca Raton, FL salary details

$60.3K

$140K

$195K

How much do remote slack software engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote slack software engineer in Boca Raton, FL is $139,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,900.00 and $164,200.00 per year, depending on experience, location, and employer.

How does a Remote Slack Software Engineer typically collaborate with teammates and stay aligned on project goals?

As a Remote Slack Software Engineer, collaboration relies heavily on asynchronous and synchronous communication tools, including Slack itself, video meetings, and project management platforms. Regular standups, code reviews, and pair programming sessions are common to ensure alignment and transparency. Engineers are encouraged to document their work thoroughly and proactively share updates, which helps reduce misunderstandings and keep projects on track despite time zone differences. This environment fosters independent problem-solving while also promoting a strong sense of teamwork.

What are the key skills and qualifications needed to thrive as a Remote Slack Software Engineer, and why are they important?

To thrive as a Remote Slack Software Engineer, you need strong programming skills in languages like JavaScript or Python, experience with APIs, and a solid understanding of software engineering principles, often supported by a relevant degree or equivalent experience. Familiarity with Slack's API, cloud platforms (such as AWS), and version control systems like Git is typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating effectively and independently in a remote environment. These skills ensure the delivery of high-quality, scalable integrations and features while maintaining productivity and team alignment across distributed settings.

What are Remote Slack Software Engineers?

Remote Slack Software Engineers are professionals who design, build, and maintain software solutions that integrate with or enhance Slack, a popular messaging and collaboration platform. They typically work from remote locations, using their expertise in programming languages, APIs, and cloud technologies to develop custom Slack apps, bots, and integrations for businesses. Their responsibilities also include troubleshooting issues, improving user experience, and ensuring the security of Slack-based solutions. These engineers often collaborate with product managers, designers, and other developers to deliver scalable and efficient tools that boost productivity within Slack environments.
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Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Lake Worth, FL • Remote

Other

Posted 27 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