These roles are perfect for early-career AI engineers or data scientists looking to expand their skills in LLM-based interaction design, speech system optimization, and production-quality prompt development.
You’ll collaborate closely with senior AI Engineers, MLEs, and QA to iterate on agent prompts, tune foundational models, and contribute to the overall agent experience for customers and employees.
ResponsibilitiesPrompt Engineering & Agent Design
Author and refine prompt instructions, chaining logic, and fallback strategies
Design and test multi-turn conversation flows aligned to Taco Bell brand voice
Build and maintain system personas and error handling routines
Model Tuning & Evaluation
Fine-tune LLMs, ASR models, and embedding systems under supervision
Assist in running experiments using LoRA, distillation, or pruning methods
Contribute to agent evaluation metrics, regression tracking, and A/B tests
Cross-Functional Collaboration
Work closely with MLEs on model integration and performance tuning
Partner with QA and PMs to improve agent usability, reliability, and task success rates
Help manage RAG components, context retrieval chains, and structured data inputs
Required Qualifications
5+ years experience in AI Engineering, Data Science, or ML-related roles
Proficiency in Python and AI frameworks (e.g., LangChain, HuggingFace, OpenAI APIs)
Understanding of prompt engineering, agent flows, and model evaluation principles
Interest in LLM tuning, ASR modeling, or speech interaction design
Preferred Qualifications
Experience with RAG, vector search, embeddings, or retrieval-based models
Exposure to ASR systems or speech pipelines
Familiarity with LoRA, distillation, or low-latency AI architectures
This position is available exclusively to candidates located in Vietnam. Relocation support is not provided, and applicants must be currently residing in Vietnam to be considered.
Skills Required
- 5+ years experience in AI Engineering, Data Science, or ML-related roles
- Proficiency in Python and AI frameworks (e.g., LangChain, HuggingFace, OpenAI APIs)
- Understanding of prompt engineering, agent flows, and model evaluation principles
- Interest in LLM tuning, ASR modeling, or speech interaction design
Yum! Brands Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Yum! Brands and has not been reviewed or approved by Yum! Brands.
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Leave & Time Off Breadth — Corporate roles include four weeks of vacation, year‑round half‑day Fridays, company holidays, dedicated “Live Well” days, and paid volunteer days. These policies contribute meaningfully to overall compensation value for corporate employees.
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Wellbeing & Lifestyle Benefits — Offerings include free access to mental‑health counselors, onsite/virtual wellness tools, onsite gyms in select offices, and wellbeing discounts. Smoking‑cessation and weight‑management programs further bolster lifestyle support.
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Parental & Family Support — Benefits span family‑planning coverage such as adoption, fertility, and baby‑bonding leave. Corporate materials also note enhanced parental leave for U.S. corporate employees.
Yum! Brands Insights
What We Do
Yum! Brands, Inc., based in Louisville, Kentucky, and its subsidiaries franchise or operate a system of over 55,000 restaurants in more than 155 countries and territories under the Company’s concepts – KFC, Taco Bell, Pizza Hut and the Habit Burger Grill. The Company's KFC, Taco Bell and Pizza Hut brands are global leaders of the chicken, Mexican-style food, and pizza categories, respectively. The Habit Burger Grill is a fast casual restaurant concept specializing in made-to-order chargrilled burgers, sandwiches and more. What makes Yum! a great place to work? It's our people. As the world's largest restaurant company, we invest in people capability so that our global workforce can make the most of their careers. With ongoing opportunities for personal and professional success, we've built a culture that rewards and recognizes great effort while providing the flexibility that is so important to all of us.
