Agent Systems Engineer

The Role You'll build the agent systems at the core of our product. These systems turn customer goals into reliable, multi-step execution across real tools and services. This is not about building demos. You'll work on agents that operate under real constraints: incomplete information, external failures, limited budgets, and unpredictable traffic. You'll own how they plan, use tools, recover from errors, and improve over time. Responsibilities Design agent architectures for planning, reasoning, tool use, memory, and integration with external systems and data. Improve reliability on long-running, multi-step tasks, including failure recovery. Build the loops that let agents improve with real use, so performance compounds instead of staying frozen. Develop evaluations that measure agent performance and resist being gamed. Make practical tradeoffs between quality, latency, cost, and complexity. Qualifications 5+ years building production ML or backend systems, including taking LLM or agent applications from prototype to production. Strong understanding of agent design: planning, reasoning, tool use, orchestration, and memory. Experience building rigorous evaluation systems, plus execution tracing and observability for agents, with a focus on reproducibility. Familiarity with the OpenAI Responses API, MCP, and server- versus client-side execution. Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box. About Us Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence. Benefits Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites. Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons. Lunch Stipend: Weekly meal allowance for take-out or grocery delivery. Well-Being: Comprehensive medical benefits and generous paid time off.

Design and build agent architectures for planning, reasoning, and tool use to turn customer goals into reliable execution. Develop evaluation systems and feedback loops to improve agent performance and reliability over time.

Requires 5+ years of experience building production ML or backend systems, specifically taking LLM applications from prototype to production. Must have a strong understanding of agent design, observability, and familiarity with the OpenAI Responses API and MCP.

• Flexible work • Annual travel stipend • Lunch stipend • Comprehensive medical benefits • Generous paid time off

• Apprentissage automatiqueSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Agent Architecture
• LLM Productionization
• Planning and Reasoning
• Tool Use
• Memory Systems
• Evaluation Systems
• Execution Tracing
• Observability
• OpenAI Responses API
• MCP
• Backend Systems
• Machine Learning
• Orchestration
• Failure Recovery

• Software
• Technology
• Engineering
• Data & Analytics
• Science & Research

Expérience minimale

5+ ans

Postuler avant le

20 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Toronto, Ontario, Canada

Niveau d’expérience

Mid-Senior level