The opportunity
The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments.
What you'll do
Architect and deploy production AI systems that integrate seamlessly into: complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems.
Design scalable agent architectures that combine LLMs, retrieval, memory,: tools, structured knowledge, and enterprise data into reliable production workflows.
Build robust integrations that allow AI agents to safely interact with: customer systems while meeting enterprise requirements for security, governance, and compliance.
Rapidly prototype new AI capabilities and evolve successful prototypes into production-ready systems.
Build the production infrastructure that enables frontier AI research to become reliable enterprise software.
Develop agent runtimes, orchestration frameworks, context pipelines,: execution services, and tool integrations that power production AI systems.
What they're looking for
- Engineer systems for reliability, observability, latency, scalability,: retries, fallback strategies, and graceful degradation.
- Design human-in-the-loop workflows that effectively combine AI automation with expert oversight.
- Build deployment patterns that allow AI systems to evolve safely through: continuous delivery and experimentation.
- Operationalize modern AI quality systems that ensure production agents remain: reliable as models, prompts, and customer data evolve.
