Applied AI Engineer
Core
Build the core ML engine for a platform that forecasts delivery risks and optimizes timelines for large-scale capital infrastructure projects.
Role type
Senior Applied AI Engineer (ML Systems)
Builds
Production ML models for risk prediction, criticality analysis, project planning, and progress tracking for physical infrastructure.
Domain
Construction & Capital Projects / Infrastructure
Deliverable
production ML models
Required skills
Python backend, Postgres relational modeling, VLM/LLM feature development, agentic workflows, RAG systems, async job processing, AWS infrastructure
Preferred skills
Workflow orchestration (Temporal, Airflow), legacy-to-modern migration, regulated enterprise experience
Technologies
Python, FastAPI, Django, Postgres, SQLAlchemy, AWS (S3, RDS, Lambda), Docker, Kubernetes
Responsibilities
Architect, train, and deploy models for risk and timeline predictions; tune performance across the modeling stack; partner with product and full-stack engineers to ship features; debug production issues from logs and metrics.
Seniority
Senior, hands-on IC
