About
Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world's biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention.
Responsibilities
•Design, build, and maintain reusable AI capabilities — spanning models, tools, APIs, and platforms that support both internal operations and customer-facing products.
•Develop and maintain the internal MCP server, giving AI agents easy and secure access to Riskified's extensive data stores.
•Create and implement rigorous evaluation frameworks and AI guardrails to protect Riskified's value and ensure model reliability.
•Cultivate deep expertise and establish sustainable AI engineering practices across the organization.
•Champion AI readiness and track adoption company-wide to build lasting impact.
•Build and optimize RAG (Retrieval-Augmented Generation) systems.
•Own projects end to end — from gathering requirements from non-technical stakeholders through development, deployment, and ongoing operation.
•Serve as a consultant and advocate for AI engineering, guiding other teams in leveraging the platforms and tools you create.
•Collaborate with teams throughout Riskified to accelerate AI adoption and productization.
Requirements
•5+ years of solid backend and server-side development experience, building complex and highly scalable systems.
•Proven proficiency in at least one general-purpose language (Python preferred, though not required).
•A natural collaborator who builds trust across functions — comfortable working with product, business development, account management, and other non-technical partners, and able to translate between their needs and technical solutions.
•Strong product-oriented thinking, with the ability to elicit, refine, and prioritize requirements from non-technical stakeholders.
•A deep sense of ownership, some DevOps experience, and the drive to develop, deploy, and operate projects from start to finish.
•Able to navigate an organization and influence without authority — communicating effectively with engineers and managers as well as VP and C-suite leadership.
•A bias toward driving change: spotting opportunities to improve processes and accelerate technology adoption, and acting on them.
•High proficiency with AI-assisted coding tools such as Copilot, Cursor, or equivalents.
•Hands-on experience with public cloud platforms (AWS, GCP, or Azure).
•Fluency in written and spoken English.
Nice to have
•Experience with agentic coding tools like Claude Code or Copilot CLI.
•Familiarity with Strands Agents (or comparable agentic frameworks), RAG architectures, and Bedrock.
•Experience with MCP (Model Context Protocol).
•Comfortable operating in containerized environments.
Conditions
•Hybrid mode of work
•Flexible schedule
•Healthcare benefits
•Fully-stocked kitchens
•Benefits package per month — per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more.
•Wellness program
•Celebrations and activities, team events, happy hours
•Awesome Riskified gifts and swags
•Volunteer programs
•Personal development: global onboarding, role-based technical skills training, full access to Udemy
•The base salary range for this position is €65000-€75000 gross annually for candidates based in Lisbon.
•All full-time regular employees receive a bonus target and are eligible to receive stock-based awards.
