AI Specialist II
Core
Design and build applied AI systems, including RAG pipelines and agentic workflows, to solve business problems and enhance learning platforms.
Role type
Senior Applied AI Specialist (LLM/GenAI)
Builds
Production AI prototypes and systems for education platforms
Domain
EdTech + Generative AI
Deliverable
production ML models
Required skills
LLMs, RAG pipelines, agentic workflows, vector databases, Python, SQL, data modeling, AI evaluation, prompt engineering
Preferred skills
Cloud AI platforms (Vertex AI, Bedrock), AI observability, responsible AI practices, modern data platforms (Databricks, Snowflake)
Technologies
LangGraph, Mastra, LlamaIndex, CrewAI, AutoGen, Pinecone, Weaviate, S3, Postgres, GCS, BigQuery, Databricks
Responsibilities
Architect and implement RAG pipelines with vector databases; Build and maintain agentic AI workflows with tool use; Design and run evaluation frameworks for AI systems; Work with large-scale structured and unstructured datasets; Build rapid AI prototypes and experiment with models and prompts; Partner with product and engineering teams to translate business problems into AI solutions; Document architectures, design decisions, and evaluation results.
Seniority
Senior, hands-on IC