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Software Engineer, II

Zebra Technologies -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

Azure
Law
Master's degree
AWS
Back-end development
APIs
AI
Communication skills
Python
Software architecture
SDLC

Full job description

Overview:

At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges.

Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.

You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about—locally and globally.

Come make an impact every day at Zebra.

What We're Looking For:

We are seeking an innovative and hands-on Senior Software AI Engineer to lead the design and development of our next-generation AI solutions. In this role, you will focus heavily on applied Agentic AI, building intelligent workflows, and leveraging state-of-the-art AI tools to automate complex processes. This role demands a high degree of autonomy, a deep technical understanding of the generative AI landscape, and a proven track record of shipping production-ready AI applications.

Build AI Solutions: Design, develop, and deploy end-to-end AI applications that solve complex business and engineering challenges.
Architect Agentic Workflows: Lead the technical implementation of Agentic AI paradigms. Design multi-agent systems capable of autonomous planning, reasoning, and task execution.
Leverage AI Frameworks: Utilize and customize cutting-edge Agentic AI frameworks (such as LangGraph, AutoGen, CrewAI, etc.) to orchestrate complex agent behaviors and tool usage.
Drive AI-Assisted Engineering: Actively use and integrate AI coding assistants—Claude Code, Cursor, Codex etc—into development pipelines to accelerate coding, automate codebase migrations, and improve overall software development lifecycles (SDLC).
Open-Source Integration: Continuously evaluate the open-source AI ecosystem. Seamlessly integrate open-source LLMs and tools into proprietary systems while actively managing and mitigating integration challenges (e.g., security guardrails, licensing, performance bottlenecks, and deployment scaling).
Optimize Performance: Monitor and optimize AI solution performance, ensuring solutions are scalable, reliable, and cost-effective (managing prompt efficiency and token consumption).

Experience: Hands-on, professional experience in software engineering, with a dedicated focus on building and deploying AI/ML or LLM-based solutions.
Agentic AI Expertise: Strong conceptual understanding of and practical experience building Agentic AI systems (tool-calling, memory management, planning).
Framework Mastery: Demonstrable hands-on experience with modern AI orchestration frameworks like LangGraph, AutoGen, CrewAI, or similar technologies.
Claude Code/Cursor Proficiency: Direct experience utilizing Claude Code, Cursor for complex software development tasks, automated reasoning, or codebase management.
Open-Source Knowledge: Deep understanding of the open-source AI landscape (e.g., Hugging Face, local LLM deployment) and the practical, architectural challenges of integrating these technologies into enterprise products.
Programming Skills: Strong proficiency in Python, with a solid understanding of software architecture, API design, and backend development.

Preferred Skills

Experience with LLM cost management, token optimization.
Experience building or integrating UIs for AI agent interaction.
Familiarity with deploying AI workloads in cloud environments (AWS, GCP, Azure) and implementing secure, enterprise-grade AI guardrails.
Strong communication skills with the ability to articulate to stakeholders.

Benefits:

We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.

Job Posting Statement:

To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.

AI Technology Statement:

Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy .

Apply Now

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