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The Role We're hiring a Head of AI Engineering to lead the technical vision, AI architecture, and engineering culture behind our platform.
You'll work directly with the founders to turn the product vision into a reliable, scalable AI platform. This is a 0→1 company-building role for someone who can operate like a technical co-founder: defining architecture and making key AI and infrastructure decisions.
The Hard Problems
- Build a brand intelligence layer for each brand that compounds with every campaign cycle.
- Make an LLM-driven copilot reliable enough for real marketing use.
- Mine winning patterns from thousands of videos and static ads to create the next creative.
- Create predictive creative scoring that marketers can actually trust.
Core Responsibilities
- Technical vision and roadmap: Translate the company's product vision and ambiguous customer problems into a clear technical strategy and execution roadmap.
- Platform and data infrastructure: Own secure data ingestion, reliable pipelines, and scalable back-end systems across campaign and performance data.
- Agentic workflows and AI skills: Build reliable orchestration across intent, planning, skill routing, prompt systems, retrieval, and multi-step AI workflows.
- Reliability and enterprise readiness: Build evaluation frameworks, observability, cost-performance, and automated testing for non-deterministic AI outputs.
- Engineering leadership: Recruit, mentor, and lead a high-ownership tech team with strong standards for speed, quality, and technical judgment.
What We're Looking For
- 10+ years of total experience in software/AI engineering.
- 3+ years in a leadership/management role, ideally managing other leads or senior ICs.
- Experience taking agentic AI or applied AI/ML systems into production environments.
- Strong technical judgment with the ability to make long-term architecture and infrastructure decisions.
- Ability to design scalable back-end systems, APIs, data pipelines, and low-latency workflows.
- Deep understanding of workflow decomposition, RAG pipelines, tool-calling logic, state management, evals, and reliability for AI systems.
- Hands-on with LangGraph, LangChain, Haystack, or similar agentic/LLM frameworks.
- Experience with model evaluation, retrieval systems, vector databases, multimodal analysis, scoring systems, and fine-tuning where needed.
- Strong engineering fundamentals across Python/Node, React, Postgres, Redis, queues, object storage, cloud infrastructure, and CI/CD.
Why Join
We're not just building software, we're reshaping how brands understand and scale creativity with AI. We need a technical leader who thrives in ambiguity, makes bold system decisions, and has the grit to push through hard product and engineering problems.
This isn't just a role. It's a chance to co-create a company from the ground up, with the freedom to define how AI transforms an industry.
Click on Apply to know more.