Technical engineering lead for complex, multi-month projects to build and maintain agentic AI systems across organizational domains.
Locations (2)
Cincinnati, Ohio, United States
Chicago, Illinois, United States
Compensation
Base Pay Range $125,000—$207,000 USD
Responsibilities
Serve as the technical engineering lead on complex, multi-month projects to build and maintain agentic AI systems across organizational domains.
Foster a collaborative and innovative team environment, encouraging professional growth and development among junior team members.
Leverage established software engineering patterns, frameworks, and tools to automate, deploy, and integrate generative AI and agentic solutions.
Develop tools, processes, and operational capabilities to monitor agent behavior, response quality, data accuracy, latency, and system reliability.
Partner with researchers, domain experts, and platform teams to optimize and scale agentic systems using software engineering, DevOps, and AI lifecycle best practices.
Senior Firmware Software Engineer focused on designing, programming, and debugging embedded systems for thermal printer products.
Compensation
Pay Range: $96,800.00 - $145,200.00 Annual. Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay
Responsibilities
Analyzes, develops, designs, programs and debug embedded systems
Integrates firmware to maintain functionality and throughput
Leads meetings for moderately complex firmware design projects
Reviews firmware test results and root cause analysis
Resolves highly complex technical issues
Requirements
Bachelor’s degree in engineering (Computer Engineering or Electrical Engineering or related fields)
Masters degree in Engineering (Computer Engineering or Electrical Engineering or related fields)
Lead the development and delivery of scalable platform capabilities, including infrastructure, tooling, and AI/ML frameworks.
Compensation
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : Stock
Responsibilities
Deliver platform capabilities including infrastructure, tooling, and ML frameworks aligned with roadmap priorities.
Apply cloud-native architecture principles to ensure scalable, resilient, and agile systems.
Lead full software development lifecycle activities including coding, testing, deployment, monitoring, and maintenance.
Conduct system design reviews to validate quality and alignment with architectural standards.
Build AI-driven applications integrating ML components and automation features.
Requirements
Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area
Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area
Nice to have: Master’s degree
Nice to have: Web Content Accessibility Guidelines (WCAG) 2.2 AA standards
Design, develop, implement and support enterprise web applications using .NET, C#, MVC, Angular 8+, .Net Core, Web API, SQL Server, Javascript, Kendo UI, jQuery, JSON, HTML, CSS.
Responsibilities
Design, develop, implement and support enterprise web applications using .NET, C#, MVC, Angular 8+, .Net Core, Web API, SQL Server, Javascript, Kendo UI, jQuery, JSON, HTML, CSS.
Perform software development, unit testing and debugging, which may include the development of new software, reuse of existing code, modification of existing programs, or integration of purchased solutions.
Documents and demonstrates solutions by developing documentation and code comments.
Actively participate in design reviews by providing creative and practical ideas and solutions in a teamwork environment.
Ability to work in a Team which practices SCRUM/AGILE methodologies.
Requirements
Degree in Engineering / Computer Science or Equivalent
Lead Platform Engineer (Framework) responsible for designing, developing, and governing core software frameworks, SDKs, and reusable libraries used across enterprise application teams.
Responsibilities
Design, develop, and maintain high-performance reusable software libraries, SDKs, and shared services in Java or C#
Apply advanced software design patterns, dependency injection, and clean API design principles
Publish, version, and manage software packages using enterprise repository managers
Design and optimize automated build pipelines and CI/CD workflows using tools like Maven, Gradle, or npm
Establish and execute comprehensive automated testing strategies
Work collaboratively with agile team members, business stakeholders, and technology counterparts to deliver Salesforce solutions.
Design, develop, implement, test, and support Salesforce applications and components.
Develop and maintain custom Salesforce solutions using Apex, Lightning Web Components (LWC), triggers, batch processing, and other Salesforce technologies.
Implement scalable, reliable, and fault‑tolerant applications that meet functional and operational requirements.
Leverage AI prompting tools to support development activities and explore AI‑driven solutions.
Lead the design, development, and deployment of scalable platform capabilities, including infrastructure, tooling, and AI/ML frameworks.
Compensation
The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : Stock
Responsibilities
Deliver platform capabilities including infrastructure, tooling, and ML frameworks aligned with roadmap milestones and domain priorities.
Drive full software development lifecycle activities such as coding, testing, deployment, monitoring, and maintenance.
Apply cloud-native architecture principles to ensure scalable, resilient, and agile systems.
Conduct system design reviews to validate feasibility and ensure alignment with architectural best practices.
Build AI-driven applications and integrate ML components using multiple programming languages.
Requirements
Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.
6 years’ experience in software engineering or related area.
Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area.
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