You'll be a senior engineer on a deliberately flat, entrepreneurial team. Day to day you'll design and build agentic AI systems - agents, workflows, the orchestration layer that ties them together, and the infrastructure that makes all of it reliable at scale. This is hands-on building, not oversight.
What you'll do
Design and build agentic workflows and the AI systems behind them - agents, the orchestration layer, and the infrastructure that runs them reliably
Take significant, ambiguous areas of the system and drive them from rough idea to working capability
Help scale the platform from a first working workflow to something used across the marketing organization
Contribute to evaluation, quality, and reliability - making sure systems don't just run, but run well
Work directly with the people who'll use what we build, and translate their needs into systems
Substantial software engineering experience, with a track record of building and shipping complex systems
Hands-on experience building agentic or LLM-based systems - this is a requirement, not a nice-to-have. We’re looking for someone who has designed agent workflows, wrestled with prompts and context, handled the failure modes, and shipped something real
Strong product instincts: comfortable with ambiguity, able to define a problem before solving it, and opinionated about what's worth building
Comfort working in a small, flat, fast-moving team where you set much of your own direction
The ability to communicate clearly with non-technical partners across marketing
Nice to have:
Experience with orchestration frameworks for agentic systems (e.g. LangGraph or similar)
Experience with evaluation frameworks, RAG, or working with knowledge bases at scale
Familiarity with the marketing domain, or a genuine interest in it
Experience taking a system from early prototype to broad organizational adoption
This is a rare chance to build agentic AI that's actually in production and actually changing how a large organization works. Not a demo and not a proof of concept. You'll have real ownership, work alongside experienced engineers on genuinely hard problems, and help define what an AI-native marketing organization looks like.
For more Information feel free to talk to Sasha Belenky.
