Senior AI Platform Engineer
Core
Building the runtime infrastructure that enables AI agents to reason over enterprise context, retrieve evidence, and execute actions safely across hundreds of business systems.
Role type
Senior AI Platform Engineer (Infrastructure)
Builds
AI Runtime infrastructure, orchestration layers, entity resolution systems, and developer tools for agent workflows.
Domain
Artificial Intelligence / Data Infrastructure / Enterprise Systems
Deliverable
production ML models | infrastructure | product features
Required skills
distributed systems, backend architecture, LLMs and agents, RAG, MCP, APIs, concurrency, system design, developer platforms, workflow engines, rapid prototyping
Preferred skills
AI agent frameworks, orchestration frameworks (LangGraph, Temporal), retrieval systems, vector search, knowledge graphs, data infrastructure (Kafka, Iceberg, Postgres, Spark)
Technologies
LangGraph, Temporal, MCP, Kafka, Iceberg, Postgres, Spark
Responsibilities
Design and implement orchestration layers for natural-language intent; build systems for entity resolution and context assembly; develop reusable Skills encapsulating business workflows; build routing systems coordinating connectors and language models; own features end-to-end from runtime to user experience; implement permission models and action policies; build evaluation frameworks for quality improvement.
Seniority
Senior, hands-on IC
