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Backend Software Engineer, Trust & Safety (Anti-Fraud)

Higgsfield AI· Product Engineering
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Almaty, KazakhstanFull-timePosted 1w ago

About the role

Backend engineer focusing on Trust & Safety/anti-fraud, turning ML signals into production protections across accounts, credits, payments, and generation. Build risk integrations, enforcement services, and operator tooling with fast release cycles.

Responsibilities

  • Risk integrations: connect existing ML scores and risk signals to account creation, credit usage, payments, and generation flows, with clear timeouts and fallback behavior.
  • Enforcement services: implement configurable rules, rate limits, account restrictions, and credit or payment controls with consistent behavior across services.
  • Operator tooling: build APIs and workflows for reviewing cases, inspecting decision history, and safely applying or reversing restrictions.
  • Production reliability: handle retries, duplicate events, concurrent requests, and safe rollouts; add monitoring and audit trails so failures can be traced and fixed.
  • Work in other teams’ codebases to add signals or interventions without hurting their stability or architecture.
  • Ownership: clarify the control with ML, analytics, and operations → scope the smallest useful implementation → ship → verify production behavior and review impact with the team. Our release cycle is days, not quarters, so your first shipped protection happens fast.

Qualifications

  • You've taken a difficult problem from an unclear starting point to a working system used in production, and can explain your own decisions, contribution, and results.
  • You can build reliable backend services: APIs, data models, queues, transactions, idempotency, and concurrency. You can integrate external services and debug failures across the request and event lifecycle.
  • You choose the next steps, remove blockers, and ask for help when needed. You cut scope to test an idea, adapt from evidence, and keep working through difficult problems.
  • You work with ML, analytics, and operations to turn risk requirements into clear backend behavior. You use operator feedback and customer cases to improve controls and learn unfamiliar systems quickly.
  • You take feedback, change your mind when the evidence changes, and do the work the team needs. You share knowledge and responsibility so others can operate and extend what you build.

Skills

Required:Backend API designSystem reliabilityRisk scoring / fraud signals integrationCollaboration with ML/Analytics/Operations

Benefits

  • Competitive base in USD, equity, relocation support, and ownership of protections that preserve both company revenue and customer trust.
Last updated Oct 18, 2026. Interested? Apply on the company site.
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Create images, videos, and voice content with Higgsfield AI from text prompts or references. Edit and upscale media, automate creative workflows with its AI agent, and generate content on web and mobile.

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