AI Engineer Intern: Real Estate AI Pipelines

Davis AI; Paris; On-site; EUR 16,000 - 22,000; Full time

Benefits offered by this job

Competitive salary

World-class AI team

Hybrid work options

Job summary

Davis AI is seeking an AI Engineer Intern to help build multi-agent systems for complex real-estate workflows. You will contribute to the core delivery pipeline—from context assembly and tool orchestration to verification, storage, evaluation, and observability—working closely with domain experts and clients.

We value strong backend Python skills, thoughtful harness design around LLMs, and the ability to read and write French as our deliverables are in French.

Qualifications

• Write strong backend Python: clean & scalable architecture, typing, async, real tests.
• Build thin, well-tested harness layers around LLM programs.
• Read and write French: our sources and deliverables are in French.
• Can sit with an architect and work out what “correct” means.

Responsibilities

• Own one delivery pipeline end to end: market, financial, or regulatory analysis.
• Build the harness around the model: context engineering, tool orchestration, verification, report generation.
• Build the tools agents rely on: open data (cadastre, zoning, transactions, demographics), extraction from regulatory PDFs and plans etc.
• Turn every expert correction into source memory, gold datasets and regression evals.
• Extend the eval harness: LLM judges, replay caches, traces, prompt optimization.
• Ship production-grade quality and reliability on every output a client receives.
• Sit with clients and domain experts, challenge your assumptions, and learn how real estate decisions are actually made.

Skills

Backend Python

Async programming

Typing

Testing

Tools

DSPy

GEPA

Job description

Davis AI is seeking an AI Engineer Intern to help build multi-agent systems for complex real-estate workflows. You will contribute to the core delivery pipeline—from context assembly and tool orchestration to verification, storage, evaluation, and observability—working closely with domain experts and clients.

We value strong backend Python skills, thoughtful harness design around LLMs, and the ability to read and write French as our deliverables are in French.