Description
You will architect and develop AI-driven IVR and conversational systems.
Responsibilities
- Architect and develop AI-driven IVR and conversational systems using Python.
- Build English-Spanish translation systems and design LLM workflows including prompt engineering, RAG, and evaluation.
- Perform data analysis using SQL on large-scale IVR and interaction datasets.
- Lead development of agentic AI workflows for multi-step customer interactions.
- Establish LLMOps best practices for monitoring, evaluation, and lifecycle management.
- Mentor offshore and junior AI engineers.
Required Skills
- 5+ years of experience in AI/ML.
- Strong proficiency in Python.
- Proven expertise in NLP, specifically text classification and clustering.
- Hands-on experience with LLMs, including prompt engineering, evaluation frameworks, and Retrieval-Augmented Generation (RAG).
- Proficiency in SQL for large-scale data analysis.
- Bachelor's degree.
Preferred Skills
- Experience with Agentic AI and multi-agent orchestration.
- Experience with LLMOps/MLOps in production environments.
- Familiarity with IVR platforms and speech technologies such as ASR, NLU, and TTS.