Posted:3 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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.

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