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DRW

Platform Engineer - AI Engineering

Chicago$130k–$190kmidAdded 2 days ago

About this role

DRW seeks a Platform Engineer to build and operationalize a centralized AI tooling ecosystem that routes users to cost-effective models while managing governance and security. You'll integrate external cloud AI providers, internal models, and end-user tools into a unified control plane, working hands-on with API gateways, cloud infrastructure, and backend systems.

What you'll do

  • Configure and manage multi-engine API gateways with dynamic routing, rate limits, and fallback logic for LLM requests
  • Execute technical migration and integration of firm-wide tools into centralized management plane with secure logging and governance
  • Manage AI services in enterprise landing zones (Azure OpenAI instances, model deployments, API key generation) within shared responsibility model
  • Write Go and Python code for usage dashboard sync loops and implement automated cost-control mechanisms like alerts
  • Partner with Inference Infrastructure team to register and route self-hosted on-premise models within AI gateways

What they're looking for

  • Go and Python backend programming
  • API design and integration
  • API gateways and proxy configuration
  • Cloud platform engineering (Azure, enterprise landing zones)
  • Distributed systems and networking
  • LLM ecosystem and AI tooling
  • Clean code and system design
  • Cost optimization and governance patterns
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DRW

DRW is a diversified trading firm that builds and maintains trading technology infrastructure, risk management systems, and systematic trading platforms supporting global 24/7 operations across multiple asset classes. The company is hiring Desktop Systems Engineers, Trade Systems Engineers, and Software Engineers to support endpoint infrastructure, trading system reliability, risk analytics, and full-stack trading platform development.

Website
drw.com
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Likely interview questions

  • Describe your experience designing and implementing API gateways or similar routing systems. How did you handle dynamic routing rules and fallback logic?
  • Tell us about a time you integrated multiple external services into a centralized platform. What challenges did you face and how did you solve them?