Founding Applied AI/ML Engineer
I'm helping an early-stage AI startup find their first Founding Applied AI/ML Engineer. The team is rethinking how B2B companies manage customer relationships-using AI agents to rebuild customer operations from the ground up, not just augmenting humans but replacing entire layers of outdated systems. The goal is to enable high-touch, personalized service at scale.
You'd be working directly with the technical co-founder and have a huge influence on product architecture and engineering culture from day one.
Key responsibilities include:
- Designing and implementing the company's core AI agent architecture
- Building RAG pipelines for enterprise knowledge integration
- Creating contextual memory and knowledge graphs that evolve with use
- Implementing systems for AI observability, sentiment analysis, and predictive modeling
- Driving continuous performance improvements through smart feedback loops
Tech stack:
Python (FastAPI, SQLModel, Celery), PostgreSQL + pgvector, Redis, React (Vite), Render, LangGraph, Agno, BetterStack, Langfuse
Ideal profile:
- Strong background in applied ML/generative AI
- Comfortable in zero-to-one environments
- Wants significant ownership and impact
- Excited by the challenge of building agentic AI systems from scratch
The founding team has built and scaled AI and automation platforms at top-tier companies, and they're backed by leading investors and executives across AI, SaaS, and enterprise tech.
If this sounds like the kind of early-stage opportunity you're looking for, I'd be happy to connect you.