Founding Applied ML Engineer

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AI agents to rebuild customer operations from the ground up, not just augmenting humans but replacing entire layers of outdated systems.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