Applied AI Engineer at Model ML

Model ML is an AI-native workspace for investment banking, private equity, consultancies, and asset managers. YC W24 batch, 80 employees across New York, London, and Hong Kong.

The role focuses on owning and driving large portions of AI agent infrastructure, from designing and deploying multi-agent systems to integrating RAG pipelines and evaluation frameworks.

Responsibilities:

Build, test, and deploy backend services and APIs using Python/Django/FastAPI

Develop and deploy AI-powered production features including RAG systems, multi-agent infrastructure, and evaluation frameworks

Create data pipelines for AI model training

Implement background workers and task queues

Mentor junior developers

Work across the full technology stack

Requirements:

5+ years professional software engineering experience

Hands-on AI application production experience

Strong Python backend skills

Database knowledge

Docker, Kubernetes, CI/CD

Redis, Celery/RQ

RAG pipeline implementation

AI agent orchestration and performance monitoring

LLM evaluation techniques

Salary: $100,000 - $200,000 USD

Location: London, United Kingdom (office-based)