Associate Manager, AI Engineering - Taco Bell Voice AI
Yum! Brands
We are hiring an
Associate Manager, AI Engineering
to help design and improve voice-based AI agents for Taco Bell drive-thru operations. 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.
Key Responsibilities:
Prompt 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:
– years experience in AI Engineering, Data Science, or ML-related roles.
Proficiency in Python and AI frameworks (, 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.
Location & Travel:
This role is remote.
Occasional travel to test markets or pilot sites may be required.
Salary Range: $,-$, annually + bonus eligibility.
This is the expected salary range for this position. Ultimately, in determining pay, we'll consider the successful candidate’s location, experience, and other job-related factors.