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Generative Ai Developer Jobs in Boise, ID (NOW HIRING)

AI Architect

Boise, ID · Remote

$64.50 - $85/hr

We are seeking an AI Solutions Developer with deep experience across the Microsoft Power Platform ... detection, and generative AI features. * Design and orchestrate Azure AI Foundry solutions ...

Partner with Product and Engineering teams to define and implement Generative AI integration strategies and roadmaps. * Communicate insights and collaborate multi-functionally, translating complex ...

The Memory CAD Engineering organization plays a critical role in enabling Micron's custom memory ... The AI Design Enablement team focuses on applying AI-Assisted methods, Generative AI, Large ...

The Memory CAD Engineering organization plays a critical role in enabling Micron's custom memory ... The AI Design Enablement team focuses on applying AI-Assisted methods, Generative AI, Large ...

Build and integrate generative AI applications, including large language model solutions, retrieval ... DevOps practices, CI/CD, and infrastructure as code is a plus * Experience developing agentic AI ...

AI Engineer, Data Science Team- Boise, ID

Boise, ID · On-site

$109K - $130K/yr

Build and integrate generative AI applications, including large language model solutions, retrieval ... DevOps practices, CI/CD, and infrastructure as code is a plus * Experience developing agentic AI ...

Showing results 41-60

Generative Ai Developer information

See Boise, ID salary details

$18

$43

$96

How much do generative ai developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for generative ai developer in Boise, ID is $43.10, according to ZipRecruiter salary data. Most workers in this role earn between $22.40 and $52.16 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

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

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What job categories do people searching Generative Ai Developer jobs in Boise, ID look for?

The top searched job categories for Generative Ai Developer jobs in Boise, ID are:

Principal Machine Learning Engineer

Micron Technology, Inc

Boise, ID • On-site

$150 - $210/hr

Other

Medical, Dental, Vision, PTO

Posted 8 days ago


Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

27th of 159 rated electronics manufacturers


Job description

Req ID: JR106544 Principal Machine Learning Engineer

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

The Smart Manufacturing and AI team at Micron Technology is looking for an ambitious Machine Learning Engineer. Are you curious, high velocity, and ready to solve complex problems? Do you dream in data science and machine learning models? If so, we want you to join us!

Our mission is to enable to deliver industry-winning machine learning solutions to power Micron’s dominance in the highly competitive memory solutions market! As a Principal Machine Learning Engineer, will have experience in a variety of data and cloud technologies and have extensive practice modeling data, querying, and deploying scalable pipelines to execute machine learning models.

You will collaborate with Data Scientists, ML Engineers, Data Engineers, and expert users to build and deploy scalable AI/ML solutions that drive value and insight from Micron’s manufacturing processes and systems.

Responsibilities:
  • Design, build, and continuously refine ML models to address business challenges and enhance product capabilities.
  • Analyze large datasets to uncover patterns, trends, and insights that inform and improve machine learning models.
  • Stay ahead of advancements in AI/ML and integrate emerging techniques into the MLOps lifecycle.
  • Build and maintain robust, scalable data pipelines and infrastructure to support model training and deployment.
  • Collaborate on data preprocessing and feature engineering to improve input data quality and model performance.
  • Design and optimize data architectures across cloud platforms (Snowflake, GCP, Azure) for AI/ML use cases.
  • Develop custom applications and implement CI/CD pipelines to support efficient ML solution deployment.
  • Deploy, evaluate, and monitor models in production, balancing performance with cost efficiency and enabling continuous improvement.
  • Partner with Product and Engineering teams to define and implement Generative AI integration strategies and roadmaps.
  • Communicate insights and collaborate multi-functionally, translating complex analytics into actionable recommendations for diverse collaborators.
  • Drive the technical vision and lead end-to-end execution of complex, multi-functional AI/ML projects.
  • Mentor and coach developing and senior team members, elevating the overall technical competence of the engineering team.
  • Embrace and champion AI-assisted software development such as Opencode, Copilot; while strictly managing and auditing AI agents to ensure production quality code that is reliable, secure and high quality.
Minimum Qualifications:
  • Master's or PhD degree in Computer Science, Machine Learning, Data Science, Statistics, or a field closely related to AI and Machine Learning with 8+ years (or PhD with 5+ years) experience building end-to-end ML systems on cloud platforms, automating model training, testing, and deployment.
  • Strong experience with ML frameworks (scikit-learn, TensorFlow, PyTorch) and core techniques including regression, classification, deep learning, reinforcement learning, and generative AI.
  • Proficient in Python or Java, with experience developing APIs and event-driven pipelines using Kafka, Pub/Sub, or similar messaging systems.
  • Skilled in scalable data engineering, including ETL/ELT pipelines (Kubeflow, Airflow, Dataflow), SQL, and data architecture design.
  • Hands-on experience with cloud and DevOps tools (GCP, AWS, Azure, Docker, Kubernetes), combined with strong analytical, communication, and collaboration skills.
  • Proven track record of technical leadership, including leading ML project delivery and mentoring engineering teams.
Preferred Qualifications:
  • Strong foundation in machine learning and deep learning, with solid grounding in probability and statistics.
  • Proven ability to productionize data science prototypes into scalable, real-world solutions.
  • Advanced experience using and managing GenAI coding assistants, with a strong ability to peer-review and rigorously test AI-generated code logic.
  • Hands-on experience building Generative AI solutions and intelligent agents (ADK, LangChain/LangGraph, CrewAI, DsPy, Semantic Kernel).
  • Expertise in semantic search and retrieval systems, including RAG, GraphRAG, NLP, prompt engineering, and LLM fine-tuning/evaluation.
  • Experience with end-to-end data and engineering workflows: ETL pipelines, big data processing, databases (BigQuery, Snowflake, MSSQL, PostgreSQL), and CI/CD tools (Git, Docker, Kubernetes, Jenkins) and MLOps/CE platforms (MLflow, Kubeflow, Vertex AI, SageMaker, TFX)
Job Profile(s):

Machine Learning Engineer 5

Relocation Level: TBD

Before Getting Started

Please review Micron’s Internal Job Application Policy on your regional PeopleNow Career Opportunities page before searching and applying for jobs. Note in particular that:

  • Hiring managers may view your performance appraisals, original resume, transcripts or other performance-related documentation in your personal file. This information will be held in confidence.
  • If you are selected to interview for a position, you must notify your direct supervisor before participating in the interview process.
Benefits
  • Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future.
  • We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget.
  • Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave.
  • Additionally, Micron benefits include a robust paid time-off program and paid holidays.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

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