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Software Developer Paid Training Jobs in Vermont

Company Description Dellfor Technologies is founded by software professionals with fresh approach ... Company paid Life Insurance Please respond with your resume. US Citizens and all other parties ...

$25 - $45/hr

Enjoy a 30% discount on fitness equipment to enhance your training programs. * Partner programs ... Utilize the Svetness Fitness App for all client sessions, including programming & session notes

$25 - $45/hr

Enjoy a 30% discount on fitness equipment to enhance your training programs. * Partner programs ... Utilize the Svetness Fitness App for all client sessions, including programming & session notes

... software, platform, or cloud engineering, including people leadership - In lieu of a Bachelor ... specialized training and/or progressively responsible work experience in technology for each ...

Contribute to the definition of common frameworks and software libraries, in various programming ... paid vacation, holidays/personal days, tuition reimbursement and products discounts. Ability to ...

Contribute to the definition of common frameworks and software libraries, in various programming ... paid vacation, holidays/personal days, tuition reimbursement and products discounts. Ability to ...

Showing results 41-60

Software Developer Paid Training information

See Vermont salary details

$51K

$118.9K

$176.5K

How much do software developer paid training jobs pay per year?

As of Aug 7, 2026, the average yearly pay for software developer paid training in Vermont is $118,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $138,200.00 per year, depending on experience, location, and employer.

What is software developer paid training?

Software Developer Paid Training refers to programs where individuals are hired or enrolled to learn software development skills while receiving a salary or stipend. These programs are often offered by companies or coding bootcamps seeking to build a pipeline of qualified developers. Participants gain hands-on experience, mentorship, and real-world projects to help them transition into full-time software development roles upon completion. This model benefits both employers, who can train talent according to their needs, and trainees, who can earn while they learn.

What is the difference between Software Developer Paid Training vs Software Engineer?

AspectSoftware Developer Paid TrainingSoftware Engineer
Required CredentialsOften no formal degree, on-the-job training, or coding bootcampsBachelor's or higher in CS or related field
Work EnvironmentEntry-level, training-focused, often in tech companies or training programsFull professional role, involved in design, development, and maintenance
Employer UsageUsed by companies to train new talent without prior experienceHired as full-time staff with established skills
Search & Comparison IntentPeople seeking entry-level training programs or career switch optionsIndividuals comparing career paths or job roles in software development

Software Developer Paid Training programs are designed for beginners with little to no experience, focusing on training and skill development. Software Engineers are experienced professionals responsible for designing and building software solutions. The main difference lies in experience level, training requirements, and job responsibilities.

What can I expect from the team environment during a software developer paid training program?

During a Software Developer Paid Training program, you’ll typically work within a cohort of fellow trainees, fostering a collaborative and supportive environment. Expect regular interaction with mentors, team leads, and peers through pair programming, group projects, and code reviews. This structure encourages knowledge sharing and helps you quickly develop technical and soft skills. You’ll also receive frequent feedback and have opportunities to ask questions, making it a dynamic and interactive learning experience.

What are the key skills and qualifications needed to thrive as a software developer in a paid training program?

To succeed as a Software Developer in paid training, you need foundational programming knowledge, problem-solving abilities, and typically a degree in computer science or related field. Familiarity with coding languages (such as Python, Java, or JavaScript), version control systems like Git, and basic understanding of software development tools is expected. Eagerness to learn, strong communication, and teamwork skills set top candidates apart in collaborative and fast-paced learning environments. These skills and qualities are crucial to quickly adapt, absorb new technologies, and contribute effectively to team-based software projects.
What are popular job titles related to Software Developer Paid Training jobs in Vermont? For Software Developer Paid Training jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Software Developer Paid Training jobs in Vermont look for? The top searched job categories for Software Developer Paid Training jobs in Vermont are:
What cities in Vermont are hiring for Software Developer Paid Training jobs? Cities in Vermont with the most Software Developer Paid Training job openings:

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Essex Junction, VT • On-site

Other

Re-posted 16 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.