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Remote Audio Software Developer Jobs in Connecticut

Wolters Kluwer

Build developer tooling, CI/CD, and observability for safe, fast iteration (evals, canaries ... Minimum qualifications * 5+ years of professional software engineering experience. * Strong ...

Wolters Kluwer

Build developer tooling, CI/CD, and observability for safe, fast iteration (evals, canaries ... Minimum qualifications * 5+ years of professional software engineering experience. * Strong ...

Wolters Kluwer

Build developer tooling, CI/CD, and observability for safe, fast iteration (evals, canaries ... Minimum qualifications * 5+ years of professional software engineering experience. * Strong ...

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All JobsRemote Audio Software Developer JobsRemote Audio Software Developer Jobs in Connecticut

Remote Audio Software Developer information

What is the difference between Remote Audio Software Developer vs Remote Audio Engineer?

AspectRemote Audio Software DeveloperRemote Audio Engineer
CredentialsBachelor's in Computer Science, Software Engineering, or related field; experience with programming languages like C++, PythonBachelor's in Audio Engineering, Sound Design, or related; certifications like AET or AES
Work EnvironmentPrimarily remote, focused on coding, software development, and testingRemote or on-site, focused on recording, mixing, and sound design
Industry UsageTech companies, app development, audio software firmsMusic production, broadcasting, film, and live sound

Remote Audio Software Developers focus on creating and maintaining audio-related software through coding, while Remote Audio Engineers work on sound recording, mixing, and sound design. Both roles may work remotely but serve different aspects of audio technology and production.

What are popular job titles related to Remote Audio Software Developer jobs in Connecticut? For Remote Audio Software Developer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Audio Software Developer jobs in Connecticut look for? The top searched job categories for Remote Audio Software Developer jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Audio Software Developer jobs? Cities in Connecticut with the most Remote Audio Software Developer job openings:
Remote Audio Software Developer jobs near you
Infographic showing various Remote Audio Software Developer job openings in Connecticut as of June 2026, with employment types broken down into 100% Full Time. Highlights an 37% Physical, 2% Hybrid, and 61% Remote job distribution.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Norwalk, CT • Remote

Full-time

Posted 10 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