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Senior AI Platform Engineer

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Senior AI Platform Engineer in Others

  • Riskified
  • Full time
  • Email
  • Lisbon, Portugal

Responsibilities

  • Design, build, and maintain reusable AI capabilities across models, tools, APIs, and platforms.
  • Develop and maintain Riskified’s internal MCP server for secure AI-agent access to company data stores.
  • Create evaluation frameworks and AI guardrails for model reliability, performance, and safety.
  • Build and optimize retrieval-augmented generation systems and infrastructure for autonomous and interactive agents.
  • Own projects end to end from stakeholder requirements through development, deployment, and ongoing operation.
  • Establish sustainable AI engineering practices, advocate for AI engineering, and guide teams in using shared platforms and tools.
  • Champion AI readiness, track company-wide adoption, and collaborate across the organization to accelerate AI productization.

Requirements

  • At least 5 years of backend and server-side development experience building complex, highly scalable systems.
  • Proficiency in at least one general-purpose programming language, with Python preferred.
  • Experience collaborating with product, business development, account management, and other non-technical stakeholders.
  • Strong product-oriented thinking and ability to elicit, refine, and prioritize requirements.
  • Some DevOps experience and willingness to develop, deploy, and operate projects end to end.
  • Ability to influence without authority and communicate with engineers, managers, VP-level, and C-suite stakeholders.
  • High proficiency with AI-assisted coding tools such as Copilot, Cursor, or equivalent tools.
  • Hands-on experience with a public cloud platform such as AWS, GCP, or Azure.
  • Fluency in written and spoken English.
  • Preferred experience with agentic coding tools such as Claude Code or Copilot CLI, Strands Agents or comparable frameworks, RAG architectures, Bedrock, MCP, and containerized environments.

Benefits

  • Hybrid work mode in Lisbon with a flexible schedule.
  • Healthcare benefits, wellness program, and wellbeing activities.
  • Monthly benefits package options including work-from-home equipment and gym membership.
  • Fully stocked kitchens, team events, celebrations, happy hours, company gifts, and volunteer programs.
  • Personal development opportunities, global onboarding, role-based technical training, and full access to Udemy.
  • Full-time employees receive a bonus target and may receive stock-based awards.

Riskified

Riskified (NYSE: RSKD) provides an AI-driven fraud and risk intelligence platform for ecommerce merchants, offering real-time transaction decisions, chargeback guarantees, and tools to combat policy abuse. Its products help merchants increase approvals while managing card‑not‑present risk and min...

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