Senior AI Engineer

Weekday Inc; Seattle (WA); Hybride; USD 120 000 - 240 000; Plein temps

Avantages offerts par ce poste

Hybrid work in Seattle

Equity not specified

Career growth

Résumé du poste

Weekday Inc in Seattle seeks a Senior AI Engineer to design, develop, and deploy advanced AI systems for large-scale review and decision-making workflows across Trust & Safety, Fraud, Risk, and Compliance. You will architect scalable infrastructure, build data pipelines, and integrate AI into production environments.

The ideal candidate has 5+ years in software engineering, strong Python and distributed-systems skills, and an advanced CS/ML degree.

Qualifications

• 5+ years of experience in software engineering.
• Proficiency in Python and distributed systems.
• Experience building production-grade AI systems.
• Strong collaboration and communication skills.
• Advanced degree in CS, ML, or related field, or equivalent practical experience.

Responsabilités

• Design, develop, and deploy advanced AI and agentic systems for large-scale review, investigation, and decision-making workflows.
• Architect scalable software infrastructure and distributed systems to support production-grade AI applications.
• Build and maintain robust AI models, data pipelines, and software components.
• Develop agentic AI solutions to improve operational efficiency across Trust & Safety, Fraud, Risk, and Compliance.
• Integrate AI systems into production environments and ensure reliability, scalability, and performance.
• Collaborate with product managers, domain specialists, and engineering teams to define technical requirements and success metrics.
• Lead engineering initiatives from concept through deployment and optimisation.
• Apply software engineering best practices, including automated testing, CI/CD, monitoring, and production debugging.
• Ensure AI solutions are reliable, responsible, and suitable for high-impact environments.

Connaissances

Python

Distributed systems

Software engineering

Communication

Formation

Advanced degree in CS/ML or related field

Outils

CI/CD pipelines

Testing frameworks

Monitoring

Description du poste

Seattle, United States | Posted on 11/02/2026

The organisation builds advanced AI agentic systems that expand review and investigation capabilities for Trust & Safety, Fraud, Risk, and Compliance teams. It focuses on high-impact applications of artificial intelligence where precision, reliability, and responsible deployment are essential.

The team develops technology that helps organisations protect their users and platforms while shaping the future of AI-driven risk and safety operations.

Role Overview

We are looking for a Senior AI Engineer to design, develop, and deploy advanced AI systems that support large-scale review, investigation, and decision-making workflows across Trust & Safety, Fraud, Risk, and Compliance domains.

In this role, you will architect scalable software infrastructure, build agentic AI solutions, develop robust models and data pipelines, and integrate AI systems into production environments. You will work closely with product teams and domain experts to translate business requirements into reliable technical solutions and continuously improve system performance.

This is a full-time, hybrid position based in Seattle , with an expectation of working from the office three days per week.

Requirements

Key Responsibilities

• Design, develop, and deploy advanced AI and agentic systems for large-scale review, investigation, and decision-making workflows.
  
• Architect scalable software infrastructure and distributed systems to support production-grade AI applications.
  
• Build and maintain robust AI models, data pipelines, and software components.
  
• Develop agentic AI solutions that improve operational efficiency across Trust & Safety, Fraud, Risk, and Compliance use cases.
  
• Integrate AI systems into existing production environments and ensure reliability, scalability, and performance.
  
• Collaborate with product managers, domain specialists, and engineering teams to define technical requirements and success metrics.
  
• Lead engineering initiatives from initial concept and architecture through implementation, deployment, and ongoing optimisation.
  
• Apply software engineering best practices, including automated testing, CI/CD, monitoring, and production debugging.
  
• Ensure AI solutions are reliable, responsible, and suitable for high-impact operational environments.
  

Required Qualifications

• 5+ years of experience in software engineering , with experience building and deploying production-grade systems.
  
• Strong foundation in Computer Science, including algorithms, data structures, distributed systems, and core software engineering principles.
  
• Proficiency in Python and modern software development tools and practices.
  
• Experience developing production-grade AI systems and integrating them into real-world environments.
  
• Familiarity with testing frameworks, CI/CD pipelines, system monitoring, and software reliability practices.
  
• Ability to work independently in a hybrid or remote environment and take ownership of technical initiatives.
  
• Strong communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
  
• Demonstrated ability to lead projects from concept to production.
  
• Advanced degree in Computer Science, Machine Learning, or a related technical discipline, or equivalent practical experience in senior engineering roles.
  

Preferred Qualifications

• Experience in Trust & Safety, fraud detection, risk management, compliance, or related domains.
  
• Familiarity with responsible AI practices and AI evaluation frameworks.
  
• Experience building human-in-the-loop review and decision-making systems.
  
• Background in developing AI-driven investigation, review, or workflow automation solutions.
  

Compensation and Work Arrangement

• Total Compensation: $120,000–$240,000
  
• Equity: 0–1%, vesting over four years
  
• Employment Type: Full-time
  
• Location: Seattle, Washington
  
• Work Arrangement: Hybrid, with three days per week in the office