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AI agents to rebuild customer operations from the ground up, not just augmenting humans but replacing entire layers of outdated systems.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.