Founding Applied AI/ML Engineer

Cora AI (Headquarters: Remote (USA only))

Python FastAPI AI ML Machine Learning Applied AI Founding Engineer Remote USA B2B Customer Relationships LLM RAG Agent Architecture Orchestration Knowledge Graph AI Observability Predictive Models NLP Natural Language Processing LLMOps SQLModel Celery PostgreSQL pgvector Redis Render Agno LangGraph BetterStack Langfuse Startup AI Engineer Data Science

Company: Cora AI is reimagining how B2B companies engage and delight their customers using AI agents to rebuild customer operations, enabling high-touch service at scale while making relationships feel more human. Backed by Acrew Capital, Emerson Collective, Recall Capital and notable angels.

Role: As one of the first engineering hires, you'll work directly with the technical co-founder to architect and build Cora from the ground up. You'll have significant influence over the roadmap and help establish the engineering culture.

Responsibilities:
- Design and implement the core AI agent architecture and orchestration systems.
- Build and optimize RAG pipelines for enterprise knowledge integration.
- Develop contextual memory and knowledge graph systems that learn from every interaction.
- Create AI observability and quality monitoring systems.
- Build predictive models for customer health, churn risk, and growth opportunities.
- Implement sentiment analysis and intent detection systems.
- Design feedback loops that continuously improve our AI's performance.

Requirements:
- Bachelor's or Master's in Computer Science/Engineering or equivalent experience.
- 5+ years of production ML engineering experience.
- Strong expertise in modern LLM frameworks and RAG architectures.
- Experience building and deploying production AI systems.
- Experience with conversation AI and natural language processing (NLP).
- Deep understanding of LLMOps and AI observability.

Ideal Candidate:
- Navigates ambiguity & challenges with composure.
- Strong sense of ownership and reliability.
- Insatiably curious and passionate for learning.
- Early adopter mindset (e.g., using AI tools like Cursor).
- Responsive to feedback and quick to implement improvements.
- Autonomous work style while being excellent at collaboration.
- Natural mentorship abilities and team-first mindset.
- Experience in fast-paced startup environments.

Tech Stack: Python, FastAPI, SQLModel, Celery, React, Vite, PostgreSQL (w/ pgvector), Redis, Render (PaaS), Agno, LangGraph, BetterStack, Langfuse.