Founding Applied AI & ML Engineer (Systems & Agents)
Core
Design and build scalable AI orchestration systems, data pipelines, and multi-tenant architectures to enable real-time user intent understanding across software platforms.
Role type
Founding Applied AI & ML Engineer (Systems & Agents)
Builds
Production AI orchestration layer, user-facing SDKs, and data processing pipelines for global customers.
Domain
Enterprise Software, AI Systems, Distributed Systems
Deliverable
production ML models | product features | infrastructure
Required skills
Computer science fundamentals, distributed systems design, system architecture, real-time system design, multi-tenant architecture, database optimization, low-level performance optimization, full lifecycle ownership, technical strategy, team mentorship
Preferred skills
Cloud architecture (AWS/GCP), AI agent development, vector databases, data pipeline engineering (Kafka/Spark/Airflow), modern web stacks (Python/FastAPI/React/TypeScript)
Technologies
Llama, Mistral, Kafka, Spark, Airflow, Pinecone, Milvus, AWS, GCP, Python, FastAPI, React, TypeScript
Responsibilities
Architect and build core platform components including SDKs and backend AI orchestration; solve foundational scaling and multi-tenancy challenges; drive engineering best practices and culture; own ideas from concept to deployment and monitoring; mentor and grow the founding team.
Seniority
Founding, hands-on IC with strategic influence