AI Bidding Application Developer — Beeswax DSP, Databricks & Programmatic Optimization

We're building an AI-driven bidding application for our advertising operations platform, and need an experienced contractor to design and implement the core bidding engine and its integrations. What you'll work on: - Integrate with the Beeswax DSP API (bid requests/responses, campaign and line-item management, reporting endpoints) - Build and maintain data pipelines in Databricks (ingestion, feature engineering, model training/serving) to power bidding decisions - Develop AI/ML models for real-time bid optimization (pacing, pricing, performance prediction) - Integrate bidding logic and outputs with our internal "Optimize" product - Collaborate with our internal data and product teams; document architecture and decisions clearly Ideal experience: - Hands-on experience with Beeswax (or comparable DSP - The Trade Desk, MediaMath, DV360) API/bidder development - Strong Databricks experience: PySpark pipelines, Delta Lake, ML model training/deployment - Background in ad-tech / programmatic / RTB bid optimization (pacing algorithms, bid shading, performance prediction models) - General AI/ML and LLM agent application development experience is a plus - Comfortable working independently, strong written communication (we're a distributed team) Engagement details: - Initial 1-2 month build, with potential to extend based on results - Remote, flexible hours with some overlap with US Eastern time preferred To apply, please briefly describe your relevant experience with DSP/bidder integrations and Databricks, and share any examples of similar work (case studies, GitHub, etc.)