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Remote Junior Software Engineer Jobs in Reno, NV

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Controls Engineer III

Sparks, NV · On-site +1

$83.80K - $108.40K/yr

Provide technical guidance to junior Controls Engineers. What We're Looking For * You work ... Degree in Electrical, Mechanical, Electronics, or Software Engineering, or equivalent technical ...

Switch, Inc.

Controls Engineer III

Reno, NV · On-site +1

$83.30K - $107.70K/yr

Provide technical guidance to junior Controls Engineers. What Were Looking For * You work ... Flexibility & Remote Opportunities Whether in-office, hybrid, or fully remote, we offer the ...

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Remote Junior Software Engineer information

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$46.4K

$94.3K

$141.6K

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

As of May 28, 2026, the average yearly pay for remote junior software engineer in Reno, NV is $94,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,800.00 and $95,200.00 per year, depending on experience, location, and employer.

What is a Remote Junior Software Engineer job?

A Remote Junior Software Engineer is an entry-level software developer who works remotely to design, develop, test, and maintain software applications. They typically collaborate with a team using online communication tools and version control systems. Responsibilities may include writing code, debugging issues, and learning from senior engineers. This role is ideal for those starting their software development career while working from home or another remote location.

What are the key skills and qualifications needed to thrive in the Remote Junior Software Engineer position, and why are they important?

To thrive as a Remote Junior Software Engineer, you need a foundational understanding of programming languages such as Python, JavaScript, or Java, as well as a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, collaborative platforms like GitHub, and basic knowledge of cloud services or CI/CD pipelines are often expected. Strong communication skills, self-motivation, and an eagerness to learn are crucial for succeeding in a remote, entry-level environment. These abilities ensure you can contribute effectively to distributed teams, follow technical workflows, and continue developing as a software professional.

What are the typical responsibilities of a Remote Junior Software Engineer and how is performance usually evaluated?

As a Remote Junior Software Engineer, you'll typically work on writing and testing code, fixing bugs, participating in code reviews, and collaborating with team members through online tools. You may also assist with documentation, help implement new features, and contribute to team meetings or sprint planning sessions. Performance is usually evaluated based on your ability to deliver high-quality code, meet project deadlines, communicate effectively with the team, and show consistent growth in technical skills. Regular feedback, mentorship, and clear goals help support your professional development in this entry-level position.
More about Remote Junior Software Engineer jobs
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Remote Junior Software Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Sparks, NV • Remote

Other

Posted 6 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