Founding Head of Engineering
Head of Engineering (AI / Agentic Systems)
📍 Remote (US) | Preference for Nashville, TN
We’re partnering with a stealth, venture-backed company incubated by a top-tier platform builder to hire a Head of Engineering.
This team is building an AI-native platform transforming a legacy, highly fragmented industry — replacing manual, document-heavy workflows with intelligent systems powered by LLMs and agentic architectures.
The opportunity sits at the intersection of AI, product, and real-world operational complexity, with a clear path to building a scalable, tech-enabled platform through both product innovation and strategic roll-ups.
Why this role stands out
🛠️ True 0→1 leadership — build both the product and engineering org from the ground up
🤖 Own the AI architecture powering agents, workflows, and knowledge systems
📄 Work with complex, document-heavy datasets at scale (millions of records)
📈 Backed by a proven incubation platform with a strong track record
🚀 Significant equity upside tied to platform growth
What you’ll do
- Partner with domain experts to understand complex workflows and translate them into AI-driven systems
- Build and lead a high-performing product & engineering team
- Design and deploy LLM-powered agents that classify, extract, and connect data across large document sets
- Develop knowledge graphs and ontology-driven systems to structure unstructured data
- Communicate technical strategy and tradeoffs to non-technical stakeholders in clear, outcome-driven terms
What they’re looking for
- Proven builder + leader at the intersection of AI, product, and complex domains
- Experience leading engineering in vertical SaaS, applied AI/ML, or GenAI environments
- Strong track record of translating real-world problems into scalable systems
- Ability to balance technical vision with customer impact
- Thrives in fast-moving, zero-to-one environments
Technical scope
- Architect and scale LLM agent systems (LangGraph, PydanticAI, Google ADK)
- Build RAG pipelines, tool-augmented reasoning, and orchestration frameworks
- Integrate vector databases + knowledge graphs for retrieval and memory
- Develop evaluation, observability, and hallucination detection systems
- Deploy production systems with modern cloud + MLOps tooling
- Implement human-in-the-loop workflows, QA systems, and confidence scoring
Core experience
- 5–7+ years of full-stack engineering experience
- Hands-on experience with LLM agents + prompt engineering
- Familiarity with vector databases (pgvector, Weaviate, Chroma, etc.)
- Experience with FastAPI, Docker, and production ML systems
- Strong foundation in distributed systems and modern AI tooling