1

Mobile Ai Software Engineer Jobs in Addison, IL (NOW HIRING)

Senior Software Engineer

Chicago, IL ยท On-site

$180K - $280K/yr

Permute (www.permute.ai) Overview Permute is seeking a Senior Software Engineer to design, build, and deploy production-grade AI systems in a fast-moving startup environment. This role is for ...

Software Engineer

Chicago, IL ยท Remote

$200 - $300/hr

As a Software Engineering evaluator, you will create cutting-edge datasets for training ... Working on AI model training initiatives by curating code examples, building solutions, and ...

AI Engineer - Remote

Chicago, IL ยท Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Software Engineer

Chicago, IL ยท On-site

$79K - $119K/yr

Our AI powers privacy programs, identifies confidential information, and detects language ... Preferred * At least 1 year of experience in software engineering or equivalent practical ...

Senior Software Engineer

Chicago, IL ยท On-site

$126K - $190K/yr

Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information ... Senior Software Engineer on the Service Auth team, you will design, build, and operate the next ...

... engineering best practices and ensuring the successful delivery of complex software projects. With ... AI tooling as it becomes more relevant to mobile development. * You believe that code quality ...

... engineering best practices and ensuring the successful delivery of complex software projects. With ... AI tooling as it becomes more relevant to mobile development. * You believe that code quality ...

Showing results 41-60

Mobile Ai Software Engineer information

See Addison, IL salary details

$10

$60

$93

How much do mobile ai software engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for mobile ai software engineer in Addison, IL is $60.25, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $78.51 per hour, depending on experience, location, and employer.

What is a mobile AI software engineer?

A Mobile AI Software Engineer is a software developer who specializes in integrating artificial intelligence (AI) technologies into mobile applications. This role involves designing, developing, and optimizing AI-powered features such as image recognition, natural language processing, or recommendation systems for smartphones and tablets. Mobile AI Software Engineers work with frameworks like TensorFlow Lite, Core ML, or PyTorch Mobile to bring machine learning models to mobile devices, ensuring efficient performance and a seamless user experience. They also collaborate with cross-functional teams to implement innovative AI solutions tailored for mobile platforms.

What are the key skills and qualifications needed to thrive as a mobile AI software engineer?

To thrive as a Mobile AI Software Engineer, you need strong programming skills (such as Python, Java, or Swift), a solid understanding of machine learning concepts, and experience with mobile app development, often demonstrated by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow Lite, Core ML, and tools for deploying AI models on mobile devices is crucial, along with experience using version control systems like Git. Excellent problem-solving, communication, and the ability to work collaboratively in cross-functional teams are standout soft skills for this role. These competencies enable the successful integration of AI functionalities into mobile applications, ensuring efficient, innovative, and user-friendly solutions.

What are some common challenges mobile AI software engineers face when integrating AI models into mobile applications?

Mobile AI Software Engineers often encounter challenges related to optimizing AI models for limited device resources like memory, processing power, and battery life. Ensuring fast, real-time inference while maintaining a small app footprint can be complex, especially when adapting large models for on-device use. Additionally, keeping up with rapidly evolving frameworks and ensuring compatibility across different mobile operating systems requires ongoing learning and adaptation. Collaborating closely with UX/UI designers and backend teams is also essential to deliver seamless AI-driven user experiences.

What is the difference between Mobile Ai Software Engineer vs Mobile App Developer?

AspectMobile Ai Software EngineerMobile App Developer
Required SkillsAI/ML frameworks, programming, data handlingUI/UX design, app development, programming
Work EnvironmentTech companies, AI-focused projectsApp stores, software firms, startups
CertificationsAI/ML certifications, programming skillsMobile development certifications (e.g., iOS, Android)

While both roles involve mobile development, a Mobile Ai Software Engineer specializes in integrating AI and machine learning into mobile applications, whereas a Mobile App Developer focuses on creating user-friendly mobile applications without necessarily incorporating AI technologies. The roles often overlap in programming skills but differ in focus and expertise areas.

What are the most commonly searched types of Ai Software Engineer jobs in Addison, IL?

The most popular types of Ai Software Engineer jobs in Addison, IL are:

What are popular job titles related to Mobile Ai Software Engineer jobs in Addison, IL?

For Mobile Ai Software Engineer jobs in Addison, IL, the most frequently searched job titles are:

What job categories do people searching Mobile Ai Software Engineer jobs in Addison, IL look for?

The top searched job categories for Mobile Ai Software Engineer jobs in Addison, IL are:

Platform Software Engineer

Jorie AI

Oak Brook, IL โ€ข Remote

Full-time

Re-posted 27 days ago


Job description

Overview

We are looking for a skilled Platform Software Engineer to design and build the shared components, integration frameworks, and tooling that empower engineering teams across the organization. The ideal candidate brings hands-on experience with healthcare data standards, workflow automation, and full-stack web development. You will work at the intersection of backend services, cloud infrastructure, and healthcare interoperability—building the foundational layers that accelerate development velocity and consistency across multiple domains.

Key Responsibilities

  • Platform Development: Design, implement, and maintain reusable platform components, libraries, and SDKs that enable engineering teams to build automation and integration solutions efficiently and consistently.
  • Healthcare Integration: Develop and maintain integrations using industry-standard healthcare protocols and formats including EDI (X12), HL7 (v2/v3), FHIR (R4), and RESTful APIs connecting EHRs, payers, clearinghouses, and third-party systems.
  • Workflow Automation: Design and maintain the automation platform and reusable RPA tooling—built on Python, Selenium, and OpenCV—that engineering teams rely on to develop, compose, and deploy automation workflows without reinventing foundational capabilities.
  • API Development: Design and implement RESTful APIs and integration services that provide clean abstractions over complex healthcare transactions and downstream systems.
  • Web Development: Contribute to full-stack web application development using Python (FastAPI) for backend services and React for frontend interfaces that support platform operations and tooling.
  • Cloud Infrastructure: Deploy and manage platform services on Microsoft Azure, leveraging PaaS offerings such as App Services, Azure Functions, Logic Apps, and Azure SQL.
  • CI/CD & DevOps: Operate comfortably within CI/CD pipelines using Azure DevOps or GitHub Actions; contribute to infrastructure managed via IaC tools such as Terraform, Bicep, or ARM templates.
  • Compliance & Security: Ensure all platform components adhere to healthcare data privacy and security requirements (HIPAA), and follow Azure security best practices including RBAC, Key Vault, and Entra ID.
  • Documentation: Produce clear, thorough technical documentation for platform components, APIs, integration patterns, and developer usage guides.
  • Collaboration: Partner with cross-functional teams to understand integration needs, define platform standards, and provide technical guidance on platform adoption.

Requirements

  • Proficiency in Python, with experience building production-grade applications and automation solutions.
  • Hands-on experience with REST API design, development, and consumption.
  • Familiarity with workflow automation and RPA tooling (e.g., Selenium, OpenCV, or similar frameworks).
  • Experience with full-stack web development using FastAPI (backend) and React (frontend).
  • Solid understanding of relational databases (MS SQL or equivalent), including schema design and query optimization.
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Experience deploying and managing applications on cloud environments (Azure preferred).
  • Understanding of healthcare data privacy and security requirements, including HIPAA compliance.
  • Proficiency with Git and collaborative development workflows.
  • Strong written and verbal communication skills, including the ability to write documentation oriented toward developer consumers.
  • Collaborative mindset with experience contributing to shared or platform-oriented engineering efforts.
  • Experience applying AI/ML techniques to automation workflows (OCR, NLP, predictive analytics).
  • Familiarity with software design patterns and service-oriented architecture principles, with demonstrated ability to reason through system-level design trade-offs and contribute beyond individual feature delivery.

Preferred Qualifications

  • Experience with Azure PaaS services (App Services, Azure Functions, Logic Apps, Azure SQL, Key Vault, Azure Monitor).
  • Experience developing healthcare integrations using EDI (X12 837/835/270/271), HL7 (v2 or v3), and/or FHIR (R4) standards.
  • Familiarity with CI/CD tools (Azure DevOps, GitHub Actions) and Infrastructure as Code (Terraform, Bicep).
  • Familiarity with EHR/billing systems, healthcare web portals, or revenue cycle management processes.
  • Microsoft Certified: Azure Developer Associate or equivalent certification.
  • Familiarity with mobile application development (iOS/Android or cross-platform frameworks); comfort advising on mobile integration patterns or consulting on contractor-built mobile solutions.