Experience:
5+ Years Employment Type: Full-Time Work Arrangement: Hybrid (Seattle, WA – 3 days per week in the office) Total
Compensation:
$120,000–$240,000, plus a 25% target annual bonus and 0–1% equity vesting over four years Role Overview We are looking for an experienced Senior AI Engineer to design, develop, and deploy advanced AI systems that enhance large-scale review, investigation, and decision-making workflows.
The role
focuses on building production-ready agentic AI solutions for Trust & Safety, Fraud, Risk, and Compliance applications, where precision, reliability, and responsible AI deployment are essential. You will work closely with product teams and domain experts to architect scalable software infrastructure, develop robust AI models and pipelines, integrate solutions into production environments, and translate business requirements into effective technical implementations.
Requirements Key Responsibilities 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 modern development practices, including automated testing, CI/CD, monitoring, and deployment workflows. Collaborate with product managers, domain specialists, and other technical stakeholders to define requirements and success metrics. Independently 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 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.
Preferred Qualifications
Job details are sourced from the employer's original posting.
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