Senior AI Engineer
About The Position
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 to help organisations protect users and platforms and advance AI-driven risk and safety operations. The Senior AI Engineer designs, develops, and deploys advanced AI systems supporting large-scale review, investigation, and decision-making workflows. The role includes architecting scalable software infrastructure, building agentic AI solutions, developing robust models and data pipelines, and integrating AI systems into production. The engineer works 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
- At least 5 years of software engineering experience, including 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 and ability to collaborate 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.
Nice To Haves
- 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.
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 for production-grade AI applications.
- Build and maintain AI models, data pipelines, and software components.
- Develop agentic AI solutions for Trust & Safety, Fraud, Risk, and Compliance use cases.
- 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 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.
Benefits
- Annual bonus with a 25% target.
- Equity of 0–1%, vesting over four years.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
