Data Science Practitioner
Core
Build and productionize NLP and generative AI capabilities for real-time, high-scale enterprise applications, focusing on prompt engineering, RAG, and conversational AI.
Role type
Senior IC NLP and Generative AI Engineer
Builds
Production LLM features, agentic workflows, real-time inference APIs, and conversational AI experiences
Domain
Enterprise AI, NLP, Generative AI
Deliverable
production ML models
Required skills
Python, NLP fundamentals, Transformer models, LLM and agentic tooling, Classical ML, Azure AI services, SQL, Vector stores
Preferred skills
Knowledge graph techniques, Multi-cloud deployment, Speech-to-text/text-to-speech, No-code/low-code platforms, Dashboarding, Regulated-data domain experience
Technologies
CrewAI, LangChain, LangGraph, BERT, RoBERTa, T5, BART, Azure AI Foundry, Azure Function Apps, Azure Logic Apps, Neo4j, Power BI, Tableau, GPT, Claude
Responsibilities
Design and optimize prompts for production LLM features; Build agentic workflows to orchestrate RAG pipelines; Develop and deploy real-time inference APIs; Integrate speech-to-text and text-to-speech capabilities; Build monitoring/analytics pipelines for AI outputs; Iterate on model performance via hyperparameter tuning and evaluation; Partner with data engineering on ingestion pipelines; Present KPI metrics and insights to stakeholders
Seniority
Senior, hands-on IC