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No Experience Computer Science Engineer Jobs in Boise, ID

Bachelor's degree in computer science, Software Engineering, or related field (or equivalent experience). * Proven experience in Android application development. * Strong knowledge of Android sub ...

Java Developer

Boise, ID · On-site

$48.50 - $62.75/hr

Consider adding any computer science courses the school may offer, in addition to related subjects ... has no control, such as the employer the graduate chooses to apply to, the graduate's experience ...

Showing results 21-40

No Experience Computer Science Engineer information

See Boise, ID salary details

$46.2K

$115.7K

$130.9K

How much do no experience computer science engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for no experience computer science engineer in Boise, ID is $115,653.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $125,200.00 per year, depending on experience, location, and employer.

What is a no experience computer science engineer?

A No Experience Computer Science Engineer is someone who has recently graduated or is entering the computer science field without prior professional work experience. They typically possess a foundational understanding of programming, algorithms, and computer systems gained through education or self-study. These individuals are often seeking entry-level positions or internships to start their careers and build practical skills. Employers usually look for their problem-solving abilities, willingness to learn, and familiarity with common programming languages, even if they lack direct work experience.

What are common entry-level projects or tasks assigned to a no experience computer science engineer, and how can I best prepare for them?

As a No Experience Computer Science Engineer, you’ll often start by working on tasks such as debugging existing code, writing unit tests, or assisting with documentation and code reviews. You may also be given small features or modules to develop under the guidance of more experienced team members. To prepare, focus on strengthening your programming fundamentals, version control (like Git), and familiarize yourself with the company’s tech stack. Proactively ask questions and seek feedback to accelerate your learning and integration into the team.

What are the key skills and qualifications needed to thrive as a no experience computer science engineer, and why are they important?

To thrive as a No Experience Computer Science Engineer, you need a solid grasp of programming fundamentals, algorithms, and data structures, usually obtained through a computer science degree or relevant coursework. Familiarity with coding languages like Python, Java, or C++, as well as experience using version control systems such as Git, is typically expected. Strong problem-solving abilities, willingness to learn, and effective communication skills help new engineers adapt and collaborate with teams. These skills and qualities are essential for quickly growing technical proficiency and contributing meaningfully to software development projects.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Meridian, ID • On-site

Other

Re-posted 14 days ago


Key responsibilities

  • Develop, fine-tune, and deploy Generative AI models for automation tasks.

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.


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.