Senior AI Platform Engineer — RAG & AI Infra

Riskified; Lisboa; Hybrid; EUR 65,000 - 75,000; Full time

Benefits offered by this job

Hybrid mode of work

Flexible schedule

Healthcare benefits

Fully-stocked kitchens

Perks package per month

Wellness program

Team events

Happy hours

Gifts and swag

Volunteer programs

Personal development

Global onboarding

Role-based technical skills training

Udemy access

Job summary

Riskified in Lisbon seeks a backend-focused engineer with 5+ years of scalable systems experience to design, build, and operate AI‑driven platforms.

You'll work across product and business partners, develop the MCP server, implement guardrails, and champion AI adoption while collaborating with teams to deliver end-to-end solutions.

Join a dynamic team shaping AI infrastructure and productization in a fast-growing, global company.

Qualifications

• 5+ years of backend and scalable systems experience.
• Proficiency in at least one general-purpose language (Python preferred).
• Strong cross-functional collaboration with product, business, and non-technical partners.
• Ability to elicit and prioritize requirements from non-technical stakeholders.
• Ownership to develop, deploy, and operate projects end-to-end.

Responsibilities

• Design, build, and maintain AI capabilities, including models, tools, APIs, and platforms.
• Develop and maintain MCP server for secure data access.
• Create evaluation frameworks and guardrails for model reliability.
• Foster best practices for AI engineering across the org.
• Drive AI adoption and productization across Riskified teams.
• Lead end-to-end ownership from requirements to deployment and operation.
• Advise other teams on leveraging AI platforms and tools.
• Collaborate across Riskified to accelerate AI maturity.

Skills

Backend development

Python

Collaboration

Product thinking

Ownership & DevOps

Stakeholder communication

AI tooling

Cloud platforms

Tools

AWS

GCP

Azure

Job description

Riskified in Lisbon seeks a backend-focused engineer with 5+ years of scalable systems experience to design, build, and operate AI‑driven platforms.

You'll work across product and business partners, develop the MCP server, implement guardrails, and champion AI adoption while collaborating with teams to deliver end-to-end solutions.

Join a dynamic team shaping AI infrastructure and productization in a fast-growing, global company.