Senior AI Platform Engineer
OysterGlobal Employment company
RemoteSenior
Stripes
Emergence Capital
Endeavor Catalyst
Silver Lake Waterman
Georgian
G2 Venture Partners
Data & AI
About the role
TL;DR
Build the AI platform layer for developing and deploying AI applications.
- •Oyster's Data Engineering team is building the foundational AI platform layer to enable teams to develop, deploy, and operate secure, production-grade AI applications.
- •You will build the shared infrastructure, services, and developer tooling that sit beneath these applications, working hands-on with LLMs, AI agents, RAG, and AI workflows.
- •Key Responsibilities Design and build reusable platform capabilities for LLM applications, AI agents, RAG, and AI workflows.
- •Build data and knowledge pipelines supporting ingestion, embeddings, retrieval, vector search, and knowledge management.
- •Develop secure integrations between AI applications and enterprise data using APIs and tool calling patterns.
- •Establish patterns and standards for AI deployment, observability, evaluation, and lifecycle management.
- •Help take AI capabilities from prototype to production, building for reliability and scalability.
- •Requirements 5+ years in data engineering, platform engineering, or backend engineering.
- •Strong Python and SQL skills.
- •Hands-on experience building and deploying production applications using LLMs/generative AI.
- •Experience with RAG, embeddings, vector search, AI agents, or enterprise knowledge systems.
- •Strong data engineering fundamentals, including pipelines, data modeling, and secure data access.
Required skills
PythonSQLLLMsSnowflakedbtAirflowLangChain
Domain expertise
developer-toolsaiproductivity
Benefits & perks
Remote work, Paid time off, Mental health support, Wellbeing allowance, Flexible parental leave, WFH stipend
Tech stack
PythonSQLAWSSnowflakeLLMsdbtAirflowLangChain