AI Engineer (Junior, Mid-Level, Senior)

Company DescriptionPrecognition Labs builds AI agentic systems that expand review and investigation capacity for Trust & Safety, Fraud, Risk & Compliance teams. We focus on high-impact applications of AI where precision, reliability, and responsible deployment are essential. Our team works on technology that directly improves how organizations protect their users and platforms, while shaping the future of AI-driven risk and safety operations.Role DescriptionWe're hiring AI Engineers across three experience tiers (junior, mid-level, and senior) to design, build, and deploy AI systems that support large-scale review, investigation, and decision-making workflows for Trust & Safety, Fraud, Risk & Compliance use cases. Day-to-day work includes building agentic AI solutions, implementing robust models and pipelines, integrating systems into production, and working with product and domain experts to refine requirements and success metrics. At every level, we're looking for hands-on experience and the drive to keep learning fast.LevelsJunior (1–5 years): You build and ship well-scoped features in production AI systems and grow quickly into owning larger pieces. You have 1+ years building at least one of the following: cutting-edge RAG systems, AI agents, LLM fine-tuning, or LLM context engineering.Mid-level (5–10 years): You own features and pipelines independently from design to production, and contribute to evaluation and monitoring of AI systems.Senior (10+ years): In a recent role, you've architected software infrastructure and agentic systems, led initiatives from concept to production, and raised the technical bar for your team.QualificationsStrong foundation in computer science: algorithms, data structures, distributed systems, and software engineering principlesProficiency in Python and modern tooling for testing, CI/CD, and monitoring; senior candidates should have built production-grade AI systemsClear communication with technical and non-technical stakeholders, and the ability to work independentlyA degree in Computer Science, Machine Learning, or a related field, or equivalent practical experienceNice to haveBackground in Trust & Safety, fraud detection, risk management, or related domainsExperience with responsible AI, evaluation frameworks, and human-in-the-loop review systemsWho thrives hereWe're a small team, so the people who do best here care about AI and safety, bring expertise that makes everyone around them sharper, and enjoy finding a way forward on hard problems. They move quickly, take ownership without waiting to be asked, and put real energy into the work while keeping a clear sense of what matters most.LocationHybrid, Seattle: 3 days a week in office. Relocation support available for candidates moving to Washington. We can support visa transfers (such as H-1B), but are unable to sponsor new visas at this time.CompensationJunior: base salary of $60K–$120K, plus a 25% annual target performance bonusMid-level: base salary of $120K–$180K, plus a 25% annual target performance bonusSenior: base salary of $180K–$240K, plus a 25% annual target performance bonusAll levels include 0–2% equity over 4 years, scaled by experience.Precognition Labs is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic.