Remotery

Applied AI Engineer – AdTech

Posted Aug 5

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Design and deploy reliable data, experimentation, and agent systems that drive the AdTech platform.

• Create and refine data systems that integrate fragmented revenue and event information.

• Execute and manage data-quality assessments, reconcile various sources, and identify regressions, failure modes, and edge scenarios.

• Enhance business decision-making through dependable metrics, experimentation, and automated analyses.

• Analyze production failures to enhance pipeline robustness, reduce latency, and increase reliability.

• Develop data products and feedback mechanisms that equip AI agents with the necessary context, tools, and signals.

• Work in partnership with product, engineering, and commercial teams to integrate data and AI into critical workflows.

• Establish quality benchmarks for systems that facilitate and automate intricate business decisions from start to finish.


⛳️ Requirements

• Demonstrated success in delivering dependable, AI-driven software from inception to completion.

• Background in developing or launching machine learning or LLM-based products.

• Proficient in Python programming.

• Familiarity with contemporary machine learning tools.

• Experience in building and managing production data systems that utilize large, complex, or event-level datasets.

• Capacity to conceptualize complete systems and business outcomes rather than focusing solely on pipelines, models, or individual technical elements.

• Passion for investigating complex production failures, identifying root causes, and implementing sustainable improvements.

• Experience with agent frameworks or tool-utilizing LLM systems (preferred).

• Familiarity with large, disorganized datasets or production logs (preferred).

• Knowledge of advertising technology, including mediation platforms, ad networks, DSPs, or exchanges (preferred).


🏝️ Benefits

• Allowance for purchasing personal devices or equipment.

• Variable compensation through an annual bonus program.

• Flexible working hours.

• Unlimited paid time off.

• Opportunity to work from anywhere globally.

• Freedom to travel whenever and wherever you desire.

• Option to receive payment in your preferred currency.

• Empowerment to experiment, learn quickly from failures, and create a meaningful impact.

• Access to a supportive and diverse global team community.

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