Salary
💰 $134,500 - $148,300 per year
About the role
- 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
- 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
- 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
- Participate in pilot testing and occasional travel to test markets or pilot sites
Requirements
- 1–3 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
- Experience with RAG, vector search, embeddings, or retrieval-based models (preferred)
- Exposure to ASR systems or speech pipelines (preferred)
- Familiarity with LoRA, distillation, or low-latency AI architectures (preferred)
- Willingness to travel occasionally to test markets or pilot sites