Zebra Recruitment 2026 is now open for the role of Software Engineer I (LLM Engineer) at Zebra Technologies. This opportunity is based in Bangalore and is ideal for candidates with 1 to 2 years of experience in AI engineering, especially in large language models and production AI systems. If you have strong expertise in Python, Hugging Face, and LLM fine-tuning techniques, this role offers a chance to work on enterprise-grade AI solutions within Zebra’s Workcloud AI Platform.
About Zebra Technologies
Zebra Technologies is a global leader in providing intelligent solutions for industries such as retail, healthcare, transportation, and logistics. The company focuses on enabling businesses to achieve a performance edge through real-time visibility, data-driven insights, and automation.
Zebra’s Workcloud AI Platform is designed to operationalize contextual intelligence, allowing organizations to make smarter decisions using AI-powered workflows. As part of the team, you will collaborate with AI engineers, data scientists, and product teams to build scalable, high-performance AI systems.
Job Overview
- Role: Software Engineer I (LLM Engineer)
- Location: Bangalore
- Experience: 1 to 2 Years
- Qualification: B.E / B.Tech in Computer Science or related field
- Application Deadline: 30 April 2026
Job Description
As a Software Engineer I (LLM Engineer), you will be responsible for developing, fine-tuning, and deploying large language models that power Zebra’s contextual intelligence systems. The role focuses on bridging the gap between AI research and production-ready enterprise applications.
You will work on domain-specific model optimization to ensure accurate, scalable, and low-latency performance across business workflows. This includes designing embeddings, prompt structures, and integrating AI systems into production APIs.
Key Responsibilities
- Fine-tune open-source and proprietary LLMs using domain-specific datasets
- Deploy and operationalize models within the Workcloud AI Platform
- Design and optimize embeddings and prompt engineering pipelines
- Implement post-training techniques such as SFT and PEFT (LoRA, QLoRA)
- Build and integrate AI models with scalable APIs and inference systems
- Collaborate with prompt engineers and data scientists for model alignment
- Monitor and improve model performance including latency, accuracy, and cost
- Stay updated with latest MLOps tools and inference optimization techniques
Skills and Eligibility
- Education: Bachelor’s degree in Computer Science or related field
- Experience: 1 to 2 years in software engineering or AI/ML roles
- Programming: Strong knowledge of Python
- Frameworks: Experience with Hugging Face and LangChain
- Core Concepts: Understanding of transformer models, embeddings, and vector databases
- Specialization: Hands-on experience in LLM fine-tuning (SFT, PEFT)
- Tools: Familiarity with MLOps and inference optimization tools
- Skills: Strong analytical and problem-solving abilities
Why You Should Apply
This role offers a unique opportunity to work on cutting-edge AI systems in a production environment. You will gain hands-on experience in building scalable LLM solutions that directly impact enterprise operations. Working at Zebra Technologies also provides exposure to global projects, advanced AI tools, and collaborative innovation.
How to Apply
Interested candidates must apply online before 30 April 2026. Ensure your resume highlights your experience in LLM fine-tuning, AI frameworks, and Python-based development.
Frequently Asked Questions
What is the last date to apply?
The last date to apply is 30 April 2026.
What is PEFT in LLM engineering?
Parameter-Efficient Fine-Tuning (PEFT) refers to techniques like LoRA and QLoRA that allow efficient training of large models by updating a small subset of parameters.
Is this role open for freshers?
The role requires 1 to 2 years of experience. However, candidates with strong internship experience or advanced LLM projects may still apply.
Where is the job located?
The job location is Bangalore.
