AI Software Developer Jobs
AI Software Developer jobs are open across technology, finance, healthcare, and defense, from entry-level to principal and staff engineer, with specializations in machine learning engineering, large language model development, and MLOps. Find a role that fits from the openings below and apply directly.
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Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
Description
As a Framework Software Engineer, you will be responsible for building various tools and features for Data and ML platforms, including data processing, insights portal, data observability, data lineage, model hub, and data visualization. You will either work on building custom solutions ground up or take open source products and customize them for Apple’s needs. We're looking for an individual who loves to take challenges, tackles problems with imaginative solutions, works well in collaborative teams, and can produce high-quality software under tight deadlines and constraints. This role involves building innovative tools and frameworks that can extend the functionality of 3rd party BI tools using APIs.
Preferred Qualifications
Strong problem-solving skills and Excellent communication skills
Experience in building and deploying cloud-native applications/products
Working experience with Big data technologies and data platforms
Prior experience in the areas of AI/ML/Data Sciences will be a strong plus
Familiarity in working with frontend frameworks
Hands-on experience with distributed computing technologies
Experience with SQL and NoSQL data stores
Minimum Qualifications
2+ years or more of hands-on experience with Java and/or Python
Deep understanding of data structures and algorithms.
Experience designing and developing scalable & performant micro-services and Rest APIs
Knowledge of cloud computing platforms such as AWS, Google Cloud or Azure
Bachelors degree or equivalent experience
AI Software Developer Jobs by Experience Level
Top Cities Hiring AI Software Developers
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Find AI Software Developer JobsAI Software Developer Job Market
Who's Hiring
- JPMorganChase83

- Google64

- Amazon38

- TikTok22

- Amazon Web Services20

Top Industries Hiring
- Technology & Software23
- Banking & Financial Services8
- Education3
- Energy1
- Insurance1
What Employers Look For
The qualifications that appear most often in AI software developer jobs.
- Proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow
- Experience training, fine-tuning, or deploying large language models or neural networks
- Familiarity with MLOps tools and workflows including model versioning, monitoring, and CI/CD pipelines
- Strong foundation in linear algebra, probability, statistics, and algorithm design
- Bachelor's or master's degree in computer science, machine learning, or a related engineering field
- Experience with cloud platforms such as AWS, GCP, or Azure for model training and inference at scale
Tips for Your AI Software Developer Job Search
Tailor your resume for model ownership
Hiring managers want to see models you built end-to-end, not just ones you consumed. List the problem, the architecture you chose, how you evaluated it, and what happened in production. Generic ML bullet points get filtered out fast.
Show your work in a public repo
For AI roles, a GitHub or Hugging Face profile with documented projects carries more weight than certifications alone. Include experiment logs, model cards, and README files that explain your design decisions, not just the code itself.
Apply early to roles that fit
Migrate Mate lists ai software developer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by the model stack
Job descriptions that list PyTorch versus TensorFlow, or fine-tuning versus pretraining, signal very different day-to-day work. Match your search to the frameworks you know deeply rather than applying broadly and explaining gaps in interviews.
Prepare for a system design round focused on inference
Many AI software developer interviews include a round where you design a serving pipeline, latency budget, or retraining loop. Practice explaining trade-offs between batch and real-time inference and how you would handle model drift at scale.
Negotiate around compute access, not just title
When evaluating an offer, ask specifically about GPU allocation, access to proprietary datasets, and whether models are deployed internally or externally. These factors shape what you can build and what your next role will look like.
AI Software Developer Jobs: Frequently Asked Questions
Which companies are hiring the most ai software developers?
The companies hiring the most ai software developers right now include JPMorganChase, Google, and Amazon, with the largest share of openings in California, Texas, and Washington, based on current listings on Migrate Mate as of November 2026. Demand is spread across both large tech companies and well-funded AI startups.
How many ai software developer jobs are remote?
About 81% of ai software developer openings are fully remote or hybrid as of November 2026, making it one of the more flexible engineering roles available. Positions focused on model research, fine-tuning, and API development tend to be the most remote-friendly, while roles requiring on-site GPU clusters or hardware integration are more likely to require in-person work.
How do you become an ai software developer?
Start by building a strong foundation in Python, linear algebra, and probability. Then work through hands-on projects involving model training and evaluation, using open-source frameworks like PyTorch. Contribute to public repositories, document your experiments clearly, and progress toward roles where you own a model or pipeline end-to-end rather than only consuming existing APIs.
Can you get hired as an ai software developer with little or no experience?
Yes, entry-level ai software developer roles exist, but they expect demonstrated hands-on work even without professional history. Build and publish two or three focused projects that show you can train, evaluate, and deploy a model. Open-source contributions, Kaggle competition write-ups, and well-documented GitHub repositories are treated as proxies for experience by many hiring teams.
What does the ai software developer interview process look like?
The process typically includes a recruiter screen, a technical phone interview covering Python and ML fundamentals, a take-home or live coding round focused on model implementation or data pipelines, and a system design round where you architect an end-to-end ML system. Some companies add a research presentation or a deep dive into a past project you built.
Where can I find and apply to ai software developer jobs?
You can find and apply to ai software developer jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your background and apply directly to each listing on the platform.
See All 1,364+ AI Software Developer Jobs
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