VP of Platform Engineering

• Own the AI-native platform core end to end: agent runtime, LLM orchestration, retrieval, evals and integrations.
• Lead and grow a platform engineering team of four, with headcount expanding.
• Write production code, review PRs and make the key architecture calls.
• Drive velocity, reliability and quality across tooling, eval gates and observability.
• Build the agent-authoring platform and new initiatives from scratch.
• Work directly with the CEO and CTO on product releases and platform direction.

• 10+ years of engineering experience, with 4 to 6 years leading teams.
• You joined a startup early, at seed, Series A or Series B, and helped scale its engineering through later rounds.
• You have built and shipped production agentic AI, LLM or voice AI systems, and can point to measurable results.
• You still code, review PRs and make architecture decisions yourself.
• You built systems yourself, not mainly by stitching together vendor tools.
• BS in Computer Science or a related field.
• Bonus: experience with RAG, agent runtimes or eval frameworks, or in banking, fintech or other regulated industries.

TypeScript, Python, LLMs, Agentic AI, Distributed Systems, Cloud Architecture, ML Infrastructure, LLM Orchestration, Retrieval Systems, API Design, Observability

• Profitable, with strong demand, and poised to grow fast. Real upside without the usual early-stage risk.
• Founding-team-tier equity at an early but proven stage.
• A true player-coach role with real authority over platform architecture and team growth.
• Your work brings agentic AI to a huge, underserved part of financial services.