You will architect and develop AI-driven IVR and conversational systems, focusing on English-Spanish translation and multi-step customer interactions.
Responsibilities
- Build and deploy LLM workflows including prompt engineering, RAG, and evaluation for voice and chat use cases.
- Lead the development of agentic AI workflows for complex, multi-step customer interactions.
- Perform data analysis on large-scale IVR datasets using SQL to drive system improvements.
- Establish LLMOps best practices, including monitoring, evaluation, and lifecycle management.
- Mentor offshore and junior AI engineers while partnering with IVR, speech engineering, and product teams.
Required Skills
- 5+ years of experience in AI/ML with very strong proficiency in Python.
- Proven expertise in NLP, specifically text classification and clustering.
- Hands-on experience with LLMs, including prompt engineering and evaluation frameworks.
- Practical experience implementing Retrieval-Augmented Generation (RAG).
- Ability to design and deploy systems for English-Spanish translation.
Preferred Skills
- Experience with Agentic AI and multi-agent orchestration.
- Familiarity with IVR platforms and speech technologies (ASR, NLU, TTS).