AI Engineer for Real Estate AI Pipeline

Meetdavis; Paris; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Davis is hiring an AI Engineer to build and operate multi-agent systems for real estate development workflows. You will turn heterogeneous data into expert-grade deliverables, ensuring reliability, speed, and quality at scale.

You will own the end-to-end stack—from context engineering and orchestration to verification, storage and evaluation. You will work closely with domain experts, push the pipeline beyond human capabilities, and shape the product as part of a small, high-bar team building

Qualifications

• 1.5+ years building and deploying production software at scale (APIs, reliability, testing, performance).
• Experience building and evaluating LLM agents / multi-step workflows in real systems.
• Proven context engineering experience: assembled context for reliable systems (RAG, state, tool outputs).
• Deep Python expertise (clean architecture, typing, async, testing culture).
• Strong experience with databases and data modeling (structured storage, document storage, versioning).
• Full-stack experience with backend emphasis.
• Comfort with lightweight, well-engineered codebases over heavy agent frameworks.

Responsabilités

• Harness engineering: design and build the system layer around the model - context assembly, tool orchestration, verification, and report generation - to deliver consistent, high-quality outputs at scale.
• Data ingestion & context assembly: handle messy, unstructured project data from heterogeneous sources and ensure agents have the right context at all times.
• Storage & traceability: persist sources, extracted facts, intermediate results, report versions, and expert edits.
• Expert-in-the-loop UX: design and build the review experience (annotations, edits, approvals, diffs/version history, provenance display).
• Evaluation & benchmarking: build an internal eval harness (datasets, rubrics, regression tests, monitoring) to track agents performance over time.

Connaissances

Production software

LLM agents

Context engineering

Python

Databases & data modeling

Full-stack

Lightweight codebase

Description du poste

Davis is hiring an AI Engineer to build and operate multi-agent systems for real estate development workflows. You will turn heterogeneous data into expert-grade deliverables, ensuring reliability, speed, and quality at scale.

You will own the end-to-end stack—from context engineering and orchestration to verification, storage and evaluation. You will work closely with domain experts, push the pipeline beyond human capabilities, and shape the product as part of a small, high-bar team building