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About the Role

We're looking for an Applied AI Engineer to help build the core ML engine of the Foresight platform. You will architect, train and deploy models that perform Foresight's risk predictions and AI recommendations, to be used in interfaces that make 100k-activity projects understandable at a glance. This is a hands-on role on a new team, for someone who owns models and backend features from training to deployment and monitoring to build systems that are accurate, scalable and observable.

Responsibilities

Own features from technical design through release and beyond: measure adoption, learn and keep improving.
Work alongside Full Stack engineers to help them turn new models into production features customers rely on.
Partner with product, design and customers to find the problems most worth solving.
Tune performance across the modelling stack, from accuracy to latency and reliability.
Raise the bar on architecture, testing, observability and how the team ships.
Help shape the product and technical roadmap.
Build, train and deploy models that predict if a project will be at risk and by how much.
Build models that use project plans to identify which of the tasks are the most critical to complete the project on time before the project even starts.
Build models that accept blueprints and 3D Replit models to create project timelines and scaffolding as the starting point for human planners.
Build models that take in multi-model data from static cameras or videos from humans/drones on-site, voice notes, etc about a task to predict what percent of the task is complete.
Build, train and deploy models that can predict the best path forward for risk mitigation or timeline amelioration for major projects.
Evaluate models repeatedly and prototype methods and new models to improve the accuracy of current features, inspired by latest research publications.

Requirements

Have 3+ years of experience building and shipping Machine Learning models in production, with real ownership of the backend.
Have 1+ years of experience building and shipping VLM/LLM based features to production.
Are strong in Python on the backend (FastAPI, Django or similar).
Are solid at relational data modelling in Postgres: schema design, indexes, query plans, migrations, and an ORM such as SQLAlchemy.
Have shipped agentic workflows, RAG systems and high-volume data pipelines.
Have experience with async work: queues, background jobs, retries, idempotency, and what happens when a worker dies halfway.
Are hands-on with AWS (S3, RDS, a managed queue or event service, containers or serverless).
Write tests and debug production issues from logs, metrics and traces, not guesses.
Are clear in written communication and comfortable making pragmatic trade-offs in a small team that moves fast.
Experience with workflow orchestration for multi-step jobs (Temporal, Step Functions, Airflow or similar).
You've worked on a legacy-to-modern migration, or on products for regulated enterprise or public-sector customers (SOC 2, data residency).
Early-stage or founding-team experience.

Skills

Python
FastAPI
Django
Postgres
SQLAlchemy
AWS
S3
RDS
Temporal
Step Functions
Airflow

Location

New York
San Francisco
Montreal

Work Type

Occasional travel may be required

Experience Level

3+ years of experience building and shipping Machine Learning models in production
1+ years of experience building and shipping VLM/LLM based features to production

Salary/Compensations

$180,000-230,000

Benefits

Health
Dental
Vision
401(k)
PTO

About the Company

Foresight's mission is to bring the world's AI buildout into service faster by better enabling teams to deliver complex capital projects.
The AI buildout runs on physical things: data centers, power, and the supply chains behind them.
Foresight is the control tower for these projects. We connect schedules, field progress and execution data across every party, forecast where delivery is heading, and help teams act before a delay becomes a missed date.
We work with top data-center owners, developers and general contractors across the world, including Crusoe, Applied Digital, and NTT.
We raised a $25M Series A led by Macquarie Capital and are headquartered in New York.

Equal Opportunity

Foresight is an equal opportunity employer. We welcome applicants of every background and do not discriminate on any protected basis.