Senior / Staff AI Engineer
Core
Build infrastructure for large-scale agentic workloads, synthetic data generation, evaluation systems, and LLM orchestration to enable reliable AI experimentation and production.
Role type
Staff AI Engineer (Infrastructure & Platform)
Builds
Scalable synthetic data pipelines, evaluation infrastructure, orchestration systems, agent simulation environments, and LLM infrastructure.
Domain
Applied AI, Distributed Systems, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, distributed systems, cloud platforms (AWS), workflow orchestration (Prefect/Airflow/Dagster/Ray/Kubernetes), observability, non-deterministic system reasoning, API/SDK development
Preferred skills
LLM/agent infrastructure, reinforcement learning environments, synthetic data generation, isolation/sandboxing, hyper-growth startup experience
Technologies
Python, AWS, Prefect, Airflow, Dagster, Ray, Kubernetes
Responsibilities
Design infrastructure for multi-step agents interacting with tools and environments; build scalable synthetic data and automated labeling systems; design evaluation infrastructure for non-deterministic workloads; build orchestration and distributed compute systems; develop agent simulation environments; build and operate LLM infrastructure; instrument workloads for observability and debugging.
Seniority
Staff, hands-on IC with strategic ownership