VP of Platform Engineering - Agentic AI (San Francisco)

Syndesus, Inc.
San Francisco, CA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Automated Storage and Retrieval Systems Cloud Engineering Distributed Systems Python (Programming Language) TypeScript Core Voice Platform Large Language Models Agentic-AI Information Technology Machine Learning Operations Api Design

Requirements

  • 10+ years of engineering experience with 4-6 years in leadership; must have scaling experience (revenue, funding stages, team growth)
  • Production-scale experience in AI/agentic systems, LLM/ML infrastructure, or conversational/voice AI - working on the platform side
  • Hands-on and still technical - must be actively coding, reviewing PRs, and making architecture calls (not a pure people manager)
  • Startup experience strongly preferred (Series A-D); open to strong VP-level candidates from big tech if they show exceptional career trajectory
  • Must be on-site in San Francisco 5 days/week; BS/BA in Computer Science required
  • 10 - 16 years of experience as a platform engineer

Tech stack

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

About the company

We are looking for a VP of Platform Engineering with 10+ years of experience to own and scale the AI-native platform core at a profitable, Series A agentic AI company serving hundreds of financial institutions. This is a player-coach role - you’ll build and lead the platform engineering org while staying hands-on in the code, partnering directly with the CTO and CEO on architecture, product releases, and new initiatives.

What will you be doing?

  • Managing and growing the existing platform engineering team (~4 engineers today, expanding) while remaining deeply hands-on in code and architecture
  • Working directly with the CEO and CTO daily on product releases and new platform initiatives being built from scratch
  • Owning the AI-native platform core end-to-end - agent runtime, LLM orchestration, retrieval systems, evals, integrations, and the agent-authoring platform
  • Driving velocity, quality, and reliability across all platform domains including tooling, eval gates, and observability
  • Scaling the platform org and its engineering culture through the company’s next stage of growth, Our client is an AI-native fintech building agentic AI for community banks and credit unions across the US. One AI platform delivers a unified experience across voice, digital and employee-assisted channels, powered by a single AI brain that continuously learns and operates autonomously.

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