Platform Engineer AI Engineering
DRW is a Chicago-based diversified trading firm that uses technology, quantitative research, and risk management to provide liquidity across traditional and digital-asset markets.
About DRW
Founded by Don Wilson in 1992, DRW trades for its own account across global markets and operates strategies in cryptoassets, venture capital, real estate, carbon markets, and public-equity investments. Its crypto business, Cumberland, has provided institutional crypto-asset liquidity since 2014.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and operationalize an AI tooling ecosystem that connects cloud AI providers, internal models, and end-user tools through a unified control plane. You will configure API gateways, migrate tools into centralized management, manage AI services, write Go and Python code for usage monitoring and alerts, and register self-hosted models for routing.
Requirements
- Strong backend programming experience in Go and/or Python.
- Hands-on experience with API design, integration, and platform or cloud engineering concepts.
- Familiarity with API gateways, proxy configuration, or distributed-system networking.
- Interest in the LLM ecosystem and AI tooling mechanics.
- Ability to write clean, maintainable code to replace prototype systems.
Responsibilities
- Configure and manage multi-engine API gateways with dynamic routing, rate limits, and fallback logic for LLM requests.
- Migrate and integrate firm-wide tools into a centralized management plane for secure AI traffic logging and governance.
- Manage AI services in enterprise landing zones, including Azure OpenAI instances, model deployments, and API key generation.
- Write Go and Python code for usage-dashboard synchronization and automated alerting mechanisms.
- Partner with inference infrastructure to register and route self-hosted on-premise models through AI gateways.
