Qualifications & Requirements

● Experience: 8+ years of experience working with data analysis, conversational AI, NLP,

or prompt engineering.

● Core Skills:

○ Generative AI & LLMs: Proven track record in prompt design, fine-tuning

techniques, and working with modern LLM frameworks (e.g., OpenAI API,

Anthropic, LangChain, LlamaIndex, or enterprise cloud AI services).

○ Data Wrangling: Proficiency in Python or SQL for data cleaning, text processing,

and regex extraction, particularly with noisy, unstructured text and STT outputs.

○ Analytics: Strong background in pattern recognition, text analytics, and

root-cause analysis of customer service data.

● Domain Knowledge: Familiarity with Speech-to-Text (STT) engines, transcription

pipelines, and Contact Center / Customer Service workflows (CCaaS/CRM systems).

● Soft Skills: Clear communication skills with the ability to explain technical GenAI

concepts to non-technical business partners.

Preferred Qualifications

● Experience with RAG (Retrieval-Augmented Generation) architectures and vector

databases.

● Familiarity with speech recognition tools (e.g., Whisper, Deepgram, AWS Transcribe,

Azure Speech).

● Background in customer service analytics, agent desktop integration, or quality

assurance automation.