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Remote Software Developer Hospitality Jobs in Connecticut

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

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Remote Software Developer Hospitality information

What does a remote software developer in hospitality do?

A Remote Software Developer in Hospitality designs, develops, and maintains software solutions tailored for the hospitality industry, such as hotels, resorts, and restaurants. They work on applications like booking systems, property management systems, and guest experience platforms, all while working remotely. Their role often involves collaborating with cross-functional teams to deliver reliable, user-friendly products that enhance operational efficiency and guest satisfaction. Strong communication skills and industry knowledge are important, as they need to understand hospitality workflows and customer needs.

What are the key skills and qualifications needed to thrive as a remote software developer in hospitality?

To excel as a Remote Software Developer in Hospitality, you need strong programming skills (such as Java, Python, or JavaScript), experience with web and mobile application development, and a relevant degree or certifications. Familiarity with hospitality management systems (like PMS or POS), cloud platforms, APIs, and tools like Git or Jira is common. Excellent communication, problem-solving abilities, and self-motivation are vital for collaborating across remote teams and understanding hospitality-specific needs. These skills ensure efficient development of user-friendly solutions that enhance customer experiences and streamline operations in a highly service-oriented industry.

How do remote software developers in hospitality typically collaborate with cross-functional teams?

Remote software developers in the hospitality sector often work closely with product managers, designers, QA engineers, and sometimes directly with clients or operations teams. Collaboration is facilitated through regular virtual meetings, agile sprints, and project management tools like Jira or Trello. Developers frequently participate in code reviews, share updates via team channels, and use version control platforms such as GitHub to ensure smooth integration of features. Strong communication skills and proactive engagement are key to overcoming the challenges of remote collaboration and ensuring project success.

What are popular job titles related to Remote Software Developer Hospitality jobs in Connecticut?

For Remote Software Developer Hospitality jobs in Connecticut, the most frequently searched job titles are:

What cities in Connecticut are hiring for Remote Software Developer Hospitality jobs?

Cities in Connecticut with the most Remote Software Developer Hospitality job openings:

Infographic showing various Remote Software Developer Hospitality job openings in Connecticut as of June 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Waterbury, CT • Remote

Full-time

Re-posted 15 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.