Applied AI Engineer
Core
Design and build the core infrastructure for intelligent agentic systems, enabling AI agents to manage context, use tools, coordinate tasks, and improve performance to transform operational workflows into scalable production solutions.
Role type
Senior Applied AI Engineer (Agentic Systems)
Builds
Production-ready agentic systems, AI-assisted engineering workflows, and reusable AI infrastructure
Domain
Artificial Intelligence / Software Engineering
Deliverable
production ML models
Required skills
Agent architectures, tool use, context management, orchestration, evaluation frameworks, LLMs, TypeScript, Node.js, Python
Preferred skills
Coding agents, multi-agent systems, architectural judgment, product mindset
Technologies
TypeScript, Node.js, Python, LLMs
Responsibilities
Design and build essential components of agentic systems (memory, context, tool-calling, orchestration); Develop reusable AI infrastructure for new workflows; Build comprehensive evaluation frameworks for agent performance; Integrate testing, tracing, and debugging into the software lifecycle; Design architectures enabling AI agents, tools, and human expertise to work together; Collaborate with product teams to identify automation opportunities and build reliable production systems.
Seniority
Senior, hands-on IC
