AI Specialist II

Build and design AI systems by selecting the right combination of data, retrieval pipelines, agentic workflows with tool use…

Architect and implement Retrieval Augmented Generation (RAG) pipelines with vector databases such as Pinecone or Weaviate for grounded, context-aware AI applications.

Build and maintain agentic AI workflows using frameworks such as Langgraph, Mastra, LlamaIndex, CrewAI, or AutoGen, including multi-step tool use, planning…

Design and run evaluation for every AI system you ship, covering accuracy, hallucination and grounding checks, regression suites, and human review loops.

Data Science - Core discipline for extracting insights from structured and unstructured data using scientific methods and algorithms.

Data Pipelines - Essential for designing and managing series of AI processing steps from data ingestion through model inference.

AI Fluency - Understanding capabilities and limitations of LLMs, embeddings, and AI tools to apply them appropriately to problems.

Demonstrated history of taking an AI use case from data exploration and experimentation through a validated working prototype.