Applied AI Engineer

Model ML
Full-timeSenior
$100K - $200K/yr

AI Tools

LLM evaluation toolsMulti-agent systemsRAG

Tech Stack

PythonDjangoFastAPIDockerKubernetesRedisCelery

Agent Workflow

Own and drive large portions of AI agent infrastructure, from designing and deploying multi-agent systems to integrating RAG pipelines and evaluation frameworks

About the Role

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)

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