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Junior Ai Developer Jobs (NOW HIRING)

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking ...

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking ...

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking ...

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking ...

SFO Bay Area We are looking for a motivated Junior AI Engineer to support the development and implementation of AI/ML and Generative AI solutions. The ideal candidate should have strong programming ...

NY · On-site

$80 - $100/hr

Junior AI Specialist Siamo alla ricerca di una persona da inserire come Junior AI Specialist nel ... Competenze utili per il ruolo * esperienza di base con prompt engineering e interazione con LLM ...

We are seeking a Junior Developer who treats AI tools as a core part of their workflow - not an afterthought. In this role, you'll build and ship software alongside an experienced team, work directly ...

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$24K

$89K

$137.5K

How much do junior ai developer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for junior ai developer in the United States is $88,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a junior AI developer?

A Junior AI Developer is an entry-level role focused on assisting in the development, testing, and deployment of AI models and applications. Responsibilities typically include data preprocessing, writing code for machine learning algorithms, optimizing models, and integrating AI solutions into products. They work closely with senior developers and data scientists to gain experience in AI frameworks, programming languages like Python, and cloud-based AI services.

What does a junior AI developer do?

As a Junior AI Developer, your daily tasks may include coding machine learning algorithms, prepping and cleaning datasets, assisting with running experiments, and documenting your work for team review. You'll likely collaborate closely with data scientists, senior developers, and project managers to ensure seamless integration of AI solutions into applications. Regular responsibilities also include participating in team meetings, troubleshooting bugs, and continuously learning about emerging AI trends and best practices. This hands-on experience helps deepen your technical skills, and working with experienced colleagues offers valuable mentorship and growth opportunities.

What are the key skills and qualifications needed to thrive as a junior AI developer?

To thrive as a Junior AI Developer, you need a solid understanding of programming languages such as Python or Java, fundamental knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch and version control systems such as Git are commonly expected, and certifications in AI or data science are advantageous. Strong problem-solving abilities, attention to detail, eagerness to learn, and effective teamwork and communication skills help set candidates apart. These skills are vital for building, testing, and improving AI models while collaborating productively within dynamic development teams.

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Infographic showing various Junior Ai Developer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $88,976 per year, or $42.8 per hour.

$64K - $83K/yr

Full-time

Re-posted 11 days ago


Job description

About the Role
We are seeking a Junior AI Developer with a focus on AI Generative Images to support the development of AI-driven image generation capabilities. This role will focus on creating, refining, and operationalizing AI models that generate realistic and technical imagery for various applications.
You will work closely with engineering, marketing, business development, and digital teams to develop AI solutions that can generate visual representations of industrial equipment, plant layouts, and conceptual designs. This is an opportunity to work at the intersection of artificial intelligence and industrial engineering applications.
Key Responsibilities
  • Assist in building and deploying generative image models in the Azure cloud
  • Support training and fine-tuning models using internal datasets (e.g., plant images, equipment designs, marketing assets)
  • Develop and refine prompt engineering techniques to improve output quality, consistency, and realism
  • Perform image preprocessing and post-processing (background cleanup, resizing, enhancement, quality correction)
  • Collaborate with engineering and marketing teams to translate requirements into AI-assisted visual outputs
  • Help establish repeatable workflows for AI-driven image generation (batch processing, template generation, reuse of assets)
  • Assist in integrating AI image capabilities into existing tools and platforms (e.g., web apps, Power Platform, internal tools)
  • Support testing and validation of generated images for technical accuracy and visual quality
  • Document processes, datasets, and model performance to ensure reproducibility and governance compliance
  • Stay current on advancements in generative AI and model optimization techniques

Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, AI/ML, or a related field (or equivalent experience)
  • Basic experience with Python and AI/ML libraries
  • Familiarity with machine learning concepts (training, inference, model evaluation)
  • Exposure to image processing tools (e.g., Adobe Photoshop) and 3D modeling / animation platforms (e.g., Blender, Autodesk Maya)
  • Understanding of cloud platforms, preferably Microsoft Azure
  • Strong problem-solving and analytical skills
  • Ability to work collaboratively across technical and non-technical teams

Preferred Qualifications
  • Exposure to generative AI models (e.g., diffusion models, GANs, or transformer-based image generation)
  • Experience with Stable Diffusion, ControlNet, or similar frameworks
  • Familiarity with GPU-based computing environments (local or cloud-based)
  • Basic understanding of prompt engineering techniques
  • Experience working with image datasets (labeling, cleaning, augmentation)
  • Exposure to version control (Git) and development workflows
  • Familiarity with Azure services such as Azure AI, Azure ML, or virtual machines
  • Familiarity with industrial or power generation plant layouts, components, and systems
  • Experience with engineering 3D modeling software (e.g., SolidWorks, AVEVA E3D)