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

Ovative group

Sr. Data & Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

... Mobile, and UnitedHealth Group transform their media and measurement programs. The result ... Leverage and champion AI-assisted development tools and practices across the team to accelerate ...

TRUCE Software

Senior Software Engineer (Platform)

Chicago, IL · On-site

$126K - $166K/yr

TRUCE Software is a company that builds contextual mobile device management solutions, helping ... They are seeking a dedicated Senior Software Engineer to help architect, build, and maintain their ...

Cengage Learning, Inc.

Software Engineer

Chicago, IL · On-site

As a Software Engineer, you will deliver a world-class experience for learners and instructors on ... Working on a cross-functional team, you will implement an innovative, AI-first roadmap. Following ...

慨正橡扯

Lead Software Engineer - Java

Chicago, IL · On-site

$150 - $190/hr

Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work ... learning, mobile, etc.) * Practical cloud native experience, such as AWS or Azure Preferred ...

Motorola

Software Engineer

Schaumburg, IL

$63K - $97K/yr

In this position, you will work as a Software Engineer within a Scrum Team that is responsible for designing, implementing, and testing solutions for a variety of land mobile wireless communications ...

Aspinity

Senior Software Engineer

Chicago, IL · On-site

$130 - $160/hr

AI tools are already reshaping how our team works, and we want engineers who are not just ... web and mobile. Our current backend stack is Go and AWS, but we value your ability to learn and ...

Motorola Solutions, Inc.

Software Engineer

Schaumburg, IL · On-site

$63K - $97K/yr

In this position, you will work as a Software Engineer within a Scrum Team that is responsible for designing, implementing, and testing solutions for a variety of land mobile wireless communications ...

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All JobsMobile Ai Software Engineer JobsMobile Ai Software Engineer Jobs in Addison, IL

Mobile Ai Software Engineer information

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

As of Aug 13, 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 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 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 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 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 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:
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Mobile Ai Software Engineer jobs near you

Sr. Software Engineer - AI Platforms & Automation

IMO Health

Rosemont, IL • Remote

$140K - $200K/yr

Full-time

Posted 6 days ago

Job description

At IMO Health, we combine strengths in software development, artificial intelligence, and clinical expertise to create AI-driven solutions that enhance access to reliable health information, support clinical decision-making, and improve patient outcomes. 

We are looking for a Senior Software Engineer to own and evolve the internal software platforms that support IMO Health's terminology and knowledge graph initiatives. This role will maintain and enhance production applications, APIs, integrations, and AI-enabled workflows while helping introduce new AI capabilities into existing business processes as the platform continues to evolve. 

The ideal candidate is a software engineer first—someone who enjoys owning and evolving production software while applying AI technologies to solve real business problems. As the platform continues to evolve, you'll help introduce new AI-enabled capabilities into existing business workflows while ensuring the underlying systems remain reliable, scalable, and production-ready. 

WHAT YOU’LL DO:

Own and enhance internal platforms 

  • Maintain and enhance internally developed applications and tooling that supports terminology management, content creation, mapping, workflow automation, and content delivery.  

  • Build and maintain integrations across internal applications, APIs, knowledge bases, databases, and AI services.  

  • Contribute to the design and implementation of new automation and AI-enabled capabilities as business needs evolve.  

Support reliable production systems 

  • Own operational support for AI-enabled applications and workflows in production, including troubleshooting, incident response, release coordination, and ongoing maintenance.  

  • Manage application deployments, infrastructure configuration, monitoring, alerting, and operational support for AWS-hosted applications and services.  

  • Investigate production issues, perform root-cause analysis, and implement durable solutions that improve reliability.  

Enable AI-powered workflows 

  • Support AI agents and workflow automation capabilities as they mature from pilot initiatives into scalable production solutions.  

  • Develop and troubleshoot cloud-based workflows using AWS services such as Bedrock, Lambda, Glue, S3, IAM, CloudWatch, and MWAA/Airflow.  

  • Implement testing, monitoring, and operational readiness practices that improve the quality and reliability of AI-enabled workflows.  

Collaborate across teams 

  • Partner with clinical, terminology, product, data science, and engineering teams to improve AI-enabled workflows while maintaining appropriate human review and auditability.  

  • Mentor team members and promote software engineering best practices for secure, maintainable, and production-ready systems. 

WHAT YOU’LL NEED:

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical field; equivalent professional experience will also be considered. 

  • 7+ years of professional experience in software engineering, backend engineering, platform engineering, DevOps, MLOps, cloud engineering, or a related discipline, including experience supporting production systems. 

  • Strong proficiency in Python and experience building maintainable services, APIs, internal tools, jobs, or workflow automation in production environments. 

  • Experience designing, deploying, and supporting cloud-based applications in AWS environments.

  • Experience building or supporting AI-enabled applications using Amazon Bedrock, LLM APIs, knowledge bases, AI agents, retrieval-augmented generation (RAG), or similar technologies. 

  • Experience with CI/CD pipelines, Git-based development workflows, automated testing, configuration management, and release practices. 

  • Experience with Docker, Kubernetes or other containerized services, Terraform or Infrastructure-as-Code, and production monitoring/alerting tools. 

  • Experience with workflow orchestration, data pipelines, or job scheduling tools such as Airflow/MWAA, Glue, Lambda, cron-based jobs, or equivalent technologies. 

  • Working knowledge of SQL and relational databases such as PostgreSQL; experience with distributed data or search systems is a plus. 

  • Experience building or supporting AI-enabled applications using LLM APIs, retrieval-augmented generation (RAG), knowledge bases, AI agents, or similar technologies. 

  • Strong troubleshooting skills, including production issue triage, root-cause analysis, log analysis, and implementation of durable solutions. 

  • Ability to partner effectively with domain experts and translate workflow needs into practical, maintainable technical solutions. 

  • Strong communication, documentation, and collaboration skills in cross-functional environments.

PREFERRED QUALIFICATIONS:

  • Experience scaling AI-enabled applications or agent-based workflows from prototype or pilot phases into reliable production systems. 

  • Experience with modern AI development practices including prompt engineering, tool/function calling, AI evaluation techniques, and AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor. 

  • Experience with AI application frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies.  

  • Experience designing or supporting AI evaluation frameworks, quality monitoring practices, or human-in-the-loop workflows for AI-assisted outputs. 

  • Experience in healthcare technology, clinical data, clinical terminology, content curation, or other regulated data environments. 

  • Familiarity with knowledge graph technologies and semantic standards such as RDF, OWL, SPARQL, SHACL, FHIR, SNOMED CT, LOINC, RxNorm, ICD-10, CPT, or related healthcare standards. 

  • Experience working with vector databases, embeddings, search technologies, or other retrieval-based AI architectures. 

  • AWS certifications such as AWS Certified Solutions Architect, AWS Certified Machine Learning – Specialty, or AWS Certified Generative AI Developer – Professional. 

Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process.

IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health's Careers Page. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.