Senior AI Software Engineer & Technical Lead

RXinsider LTD.; Lincolnshire, Northern (IL, KY); Hybrid; USD 97,000 - 145,000; Full time

Job summary

Zebra Technologies is seeking a Senior Software Engineer / AI Enterprise Systems Analyst to lead AI-driven frontend and backend integration, mentor engineers, and translate AI capabilities into business value. The role focuses on architecting agentic interfaces, automation, and scalable architectures within an Agile, global team.

You will bridge AI capabilities with business strategy, collaborating with product managers and customers to define use cases, user stories, and technical requirements

Qualifications

• Bachelor of Science degree in Computer Science, Software Engineering, or a related field; or equivalent of 3+ years of practical experience gained through industry roles, professional experience, or applied AI software development.

Responsibilities

• Agentic UI & Frontend AI Integration: Lead the design, architecture, and development of highly interactive, AI-first frontend systems and custom interfaces using modern frameworks backed by LLM capabilities, accelerating the software development life cycle and reducing time to market.
• Intelligent Automation: Architect and develop intelligent bots and re‑usable AI modules to ensure seamless alignment across complex databases and existing enterprise applications.
• Next-Gen Enhancements: Continually analyze market needs to elevate SaaS and enterprise-wide applications, transitioning legacy processes into automated, predictive, and frictionless user journeys.

Skills

React JS

TypeScript

AI development

LLMs

REST APIs

Java

Spring Boot

Agile leadership

Communication

GitHub Copilot

Education

Bachelor of Science in Computer Science or related field

3+ years practical AI software development

Tools

Cursor

OpenAI

Gemini

Claude

LangChain

Job description

Zebra Technologies is seeking a Senior Software Engineer / AI Enterprise Systems Analyst to lead AI-driven frontend and backend integration, mentor engineers, and translate AI capabilities into business value. The role focuses on architecting agentic interfaces, automation, and scalable architectures within an Agile, global team.

You will bridge AI capabilities with business strategy, collaborating with product managers and customers to define use cases, user stories, and technical requirements