What you’ll do

• Own major components of the solution architect agent end-to-end.
• Extend agent integration with platform entities, design new capabilities, and architect for complex new domain areas as the product evolves.
• Evolve the evaluation framework from basic Q&A evals to richer, multi-step measurement of agent behavior, quality, and latency.
• Act as a cross-team connector, coordinating technical trade-offs, designing across service boundaries, and driving engineering outcomes that span multiple teams.
• Track the rapidly moving AI frontier (MCP, Cursor, Claude Code, new agent patterns) and pragmatically bring relevant, production-grade approaches into the core architecture.
• Write clean, testable code, lead deep code reviews, and help set technical direction alongside the Tech Lead and VP of Engineering.

What we expect

• 8+ years of commercial production experience, with recent years heavily focused on Python.
• Shipped full products with true end-to-end ownership of architecture, delivery, and post-launch quality.
• Hands-on AI in production: real experience integrating LLMs, building RAG pipelines, multi-agent orchestrations, or complex eval systems into shipped products (depth of production delivery matters more than theoretical research).
• Strong backend fundamentals: API design, distributed systems, databases, and modern observability tooling.
• Business context fluency: the ability to connect deep technical decisions directly to user outcomes and business value.
• High comfort with ambiguity: you proactively clarify incomplete product requirements instead of waiting for a clear spec.
• Fluent English.

Nice-to-have(s)

• A critical view on off-the-shelf frameworks and practical experience building your own agent runtime or custom abstractions.
• Familiarity with our ecosystem stack: FastAPI, Temporal, Kubernetes, Postgres, Grafana.
• Background in product-led B2B SaaS/PaaS companies.
• Experience with developer tooling, workflow automation, low-code platforms, or conversational enterprise copilots.

What we offer

• Competitive base salary + stock options.
• Full remote flexibility supported by a mature, async-first engineering culture (within eligible locations).
• AI tooling fully covered by the company (Cursor, Claude Code, and premium IDE extensions).
• No heavy management layers above you, you set technical direction together with the Tech Lead and VP of Engineering.
• The opportunity to work at the absolute frontier of enterprise multi-agent systems in a senior-heavy team.