Applied AI Engineer: Predictive ML for Large-Scale Projects

Foresight Works; Montreal; On-site; CAD 254,000 - 324,000; Full time

Benefits offered by this job

Health insurance

Dental

Vision

401(k)

PTO

Job summary

Foresight Works seeks an Applied AI Engineer to build and deploy the core ML engine for the platform that enables efficient delivery of large-scale construction projects. You will architect, train and deploy models for risk predictions and AI recommendations used in customer interfaces.

You will own features end-to-end, collaborate with software engineers to productionize models, and work with product and customers to solve high-impact problems with scalable, observable systems.

Qualifications

• 3+ years of building and shipping ML models in production with backend ownership.
• 1+ years of building and shipping VLM/LLM based features to production.
• Strong Python backend skills (FastAPI, Django or similar).
• Relational data modeling in Postgres: schemas, indexes, migrations, ORM like SQLAlchemy.

Responsibilities

• Own features from design through release and monitoring; measure adoption.
• Collaborate with full-stack engineers to productionize models into features.
• Partner with product, design and customers to identify high-value problems.
• Tune performance across the modelling stack for accuracy, latency and reliability.
• Raise the bar on architecture, testing, observability and team shipping.
• Contribute to product and technical roadmaps.

Skills

Python (backend)

PostgreSQL

SQLAlchemy

AWS

FastAPI/Django

Tools

LLM/VLM tooling

Job description

Foresight Works seeks an Applied AI Engineer to build and deploy the core ML engine for the platform that enables efficient delivery of large-scale construction projects. You will architect, train and deploy models for risk predictions and AI recommendations used in customer interfaces.

You will own features end-to-end, collaborate with software engineers to productionize models, and work with product and customers to solve high-impact problems with scalable, observable systems.