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Remote Software Engineering Internships Jobs in Ridgefield, CT

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VP/Director of Engineering (Remote)

Ridgefield, CT · On-site +1

$179K - $231K/yr

... software, analytics, and an exceptional retail network to deploy solutions that simplify the ... About the Role As VP or Director of Engineering, our technology leadership will advocate for you to ...

2Bridge Partners

QA Manager / QA Lead

New City, NY · On-site +1

$180K - $225K/yr

This role offers a flexible hybrid or remote work model. Target compensation is $180,000-$225,000 ... QA automation or software engineering with hands-on coding responsibility * Direct people ...

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Remote Software Engineering Internships information

See Ridgefield, CT salary details

$13

$25

$38

How much do remote software engineering internships jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for remote software engineering internships in Ridgefield, CT is $25.31, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $28.75 per hour, depending on experience, location, and employer.

What are some common challenges faced during remote software engineering internships, and how can I overcome them?

Remote software engineering internships often present challenges such as limited face-to-face interaction, time zone differences, and staying connected with the team. To overcome these obstacles, it's important to proactively communicate with your mentor and colleagues, make use of collaboration tools like Slack or Microsoft Teams, and maintain a structured daily routine. Regular check-ins, clear documentation of your work, and seeking feedback will help ensure you stay engaged and make the most of your remote internship experience.

What are remote software engineering internships?

Remote software engineering internships are temporary work programs where interns gain hands-on experience in software development while working from a location outside of the employer’s physical office, often from home. These internships allow students or recent graduates to collaborate with engineering teams using digital tools, work on real-world projects, and develop technical and soft skills. They offer flexibility, exposure to industry practices, and the opportunity to build a professional network, all without the need to relocate. Many tech companies now offer remote internships, making these opportunities accessible to a broader range of candidates.

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

To thrive as a Remote Software Engineering Intern, you need a solid grasp of programming fundamentals, problem-solving abilities, and coursework or experience in computer science or related fields. Familiarity with version control systems like Git, collaboration platforms such as GitHub, and basic knowledge of coding frameworks or languages relevant to the company are typically required. Strong self-motivation, effective written communication, and the ability to work independently and as part of a distributed team are standout soft skills. These abilities ensure productivity, seamless collaboration, and successful delivery of tasks in a remote and often fast-paced environment.

What is the difference between Remote Software Engineering Internships vs Remote Software Developer?

AspectRemote Software Engineering InternshipsRemote Software Developer
Required CredentialsTypically students or recent graduates, some coding experienceUsually experienced professionals with relevant skills
Work EnvironmentTemporary, internship programs, mentorship focusFull-time or project-based roles, independent work
Employer & Industry UsageTech companies, startups, educational institutionsTech firms, software companies, various industries
Search & Comparison IntentEntry-level, internship opportunities, learning focusFull-time employment, career advancement

Remote Software Engineering Internships are designed for students or recent graduates seeking hands-on experience, often with mentorship and a focus on learning. In contrast, Remote Software Developers are experienced professionals working on ongoing projects, typically in full-time roles. Both roles are common in tech industries but serve different career stages and objectives.

What job categories do people searching Remote Software Engineering Internships jobs in Ridgefield, CT look for? The top searched job categories for Remote Software Engineering Internships jobs in Ridgefield, CT are:
What cities near Ridgefield, CT are hiring for Remote Software Engineering Internships jobs? Cities near Ridgefield, CT with the most Remote Software Engineering Internships job openings:
Remote Software Engineering Internships jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Danbury, CT • Remote

Other

This job post has expired today. Applications are no longer accepted.

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