Generative AI Engineer

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

Mandatory Skills

• 4-8 years of experience in AI Engineering, Data Science or ML-related roles
• Proficiency in Python, SQL and AI frameworks (e.g., LangChain, HuggingFace, OpenAI APIs)
• Hands-on experience in LLM/NLP fine-tuning , SFT, LoRA, QLoRA, PEFT frameworks
• Strong experience with RAG development
• AWS proficiency (S3, Lambda, API Gateway, ECS/EKS, possibly SageMaker)
• Ability to convert models into production-ready applications such as API creation,Microservices, Dockers, CI/CD pipelines ,Kubernetes.
• Experience in building data/ML pipelines.