Senior AI Engineer

Weekday

. Design, architect, and develop scalable AI-powered systems for review, investigation, and decision-making workflows .

Posted 11/9/2026full-timeSeattle • Washington • United StatesSenior💰 $120,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable AI-powered systems, with a strong foundation in software engineering principles and experience in Trust & Safety, Fraud Detection, and Compliance. Proficient in Python and modern software development practices, including CI/CD and automated testing.

Highest-signal resume keywords

AI-Powered Systems DevelopmentPython ProgrammingCI/CD ImplementationTrust & Safety ExperienceSoftware Engineering Principles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAlgorithmsData StructuresDistributed SystemsAI Model DevelopmentProduction-Grade Software InfrastructureAutomated TestingApplication MonitoringData Processing PipelinesScalable System Design

Soft Skills

Problem-SolvingCommunicationCollaborationOwnershipStakeholder Engagement

Certifications & Qualifications

Advanced Degree in Computer ScienceMachine Learning

Industry Keywords

Fraud DetectionRisk ManagementComplianceResponsible AI DevelopmentHuman-in-the-Loop Systems

Tech Stack

Tools & technologies

Distributed SystemsPython

About the role

Key responsibilities & impact

Design, architect, and develop scalable AI-powered systems for review, investigation, and decision-making workflows
Build and deploy agentic AI solutions for Trust & Safety, Fraud Detection, Risk Management, and Compliance use cases
Develop production-grade software infrastructure, AI models, and reliable data and processing pipelines
Integrate AI systems into existing production environments while ensuring scalability, performance, and reliability
Apply strong software engineering principles to build maintainable, secure, and efficient systems
Implement automated testing, CI/CD, monitoring, and deployment workflows
Collaborate with product managers, domain specialists, and technical stakeholders to define requirements and success metrics
Lead engineering initiatives from initial concept and architecture through development and production deployment
Contribute to responsible AI practices, evaluation frameworks, and human-in-the-loop review systems

Requirements

What you’ll need

5+ years of professional experience in software engineering
Strong foundation in computer science, including algorithms, data structures, distributed systems, and software engineering principles
Proficiency in Python or other relevant programming languages for developing production-grade AI systems
Experience with modern software development tools and practices, including testing, CI/CD, and application monitoring
Ability to design and deliver reliable AI-powered solutions in production environments
Strong problem-solving, communication, and collaboration skills, with the ability to engage both technical and non-technical stakeholders
Ability to work independently and take ownership of initiatives from concept to production
Advanced degree in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience in senior or principal engineering roles
Experience in Trust & Safety, Fraud Detection, Risk Management, Compliance, or related domains
Familiarity with responsible AI development and deployment
Experience building AI evaluation frameworks and human-in-the-loop review systems
Background in developing scalable, reliable, and production-ready agentic AI applications

Benefits

Comp & perks

25% target annual bonus
0–1% equity vesting over four years
Hybrid work arrangement with 3 days per week in the office