Senior AI Product Engineer

🔥 0 minutes ago

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

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Oyster

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2020

💼 Consulting

📦 Logistics

👥 HR Tech

Consulting • Logistics • HR Tech

Oyster® is an automated global employment platform that simplifies the process of hiring and managing international talent. With coverage in 180+ countries, Oyster provides solutions for global payroll, compliance, employee benefits, and talent mobility, allowing companies to onboard and manage both full-time employees and contractors efficiently. By leveraging deep local knowledge and expert guidance, Oyster helps businesses navigate the complexities of international hiring and scaling their workforce globally.

📋 Description

• Own complex Oyster AI improvements end to end, from problem definition and solution design through evaluation, rollout, and production learning • Design reliable agents and tools with clear contracts, robust error handling, bounded execution, and appropriate human control • Improve knowledge access through retrieval, embedding, indexing, and freshness strategies while respecting data-access boundaries • Build trustworthy evaluation loops using representative datasets, experiments, regression checks, and automated judges calibrated against human judgment • Diagnose and fix production failures across prompts, retrieval, tools, models, and infrastructure, then verify fixes with evidence • Make deliberate model and system-design trade-offs and document decisions and rollout criteria • Support product teams through technical guidance, code review, pairing, and mentoring • Build AI capabilities for Oyster, a global employment platform that helps companies hire, pay, and care for talent worldwide

🎯 Requirements

• Senior-level engineering judgment and a track record of independently leading complex production work from design through operation and improvement • Hands-on experience shipping LLM-powered product capabilities to production, with personal responsibility for implementation and delivery decisions • Depth in retrieval/RAG and indexing, evaluation datasets and experiments, LLM-as-judge, or agents and tool calling • Ability to distinguish model, retrieval, tooling, and application failures and validate improvements with evidence • Strong fundamentals in coding, debugging, testing, API integration, and system design • Willingness to work in Ruby/Rails and React • Sound judgment regarding sensitive data, access control, model limitations, and operational risk • Clear communication of trade-offs, effective asynchronous collaboration, and practical mentoring • Regular work-hour overlap with colleagues in the Americas and Europe, approximately UTC-4 to UTC+1 • Authorization to work where you live • Nice to have: production Ruby on Rails experience • Nice to have: full-stack conversational or assistant experience • Nice to have: Slack or in-app assistant integration experience • Nice to have: experience operating retrieval pipelines, agent tools, evaluation infrastructure, model routing, and cost controls at production scale • Nice to have: experience helping multiple teams adopt reusable AI patterns

🏖️ Benefits

• Work from anywhere, subject to timely work, team support, and authorization to work where you live • 40 days off per year, including holidays and vacation, or more if required by country • Plumm mental well-being service • Monthly wellbeing allowance through ThanksBen wallet • At least three months’ paid parental leave for all new parents • Job protection for up to 12 months or as required locally • WFH stipend for laptop and home office equipment • Fully remote, async-friendly work culture • Opportunity to work on real AI products for real users • Ownership of complex AI engineering problems • Mentoring and multiplier impact across product teams • Stack-agnostic hiring with room to grow into Rails and React

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