Clear Street is modernizing the brokerage ecosystem by replacing legacy infrastructure with a cloud-native clearing and custody system. The Senior Software Engineer will build the backend that powers AI features in their trading platform (Clear Street Studio), owning the AI service layer to enhance trading capabilities.
Requirements
- You have at least 7+ years of strong proficiency in enterprise Java.
- Experience designing and deploying AI/ML or LLM-backed systems in production
- Familiarity with LLM tooling and patterns: (e.g. tool calling, RAG pipelines and knowledge bases, evals, cost/latency tradeoffs, basic red-teaming).
- Experience in supporting and running systems in a production environment.
- Python is a plus for proofs-of-concept, evaluation and analysis
- Tech stack : Postgres, Kafka, Redis, AWS/k8s, spring ecosystem.
Responsibilities
- Design, implement, and productionize reliable AI workflows to augment the Studio trading platform.
- Build tooling to monitor, tune, and evaluate models and workflows, as well as applicable guardrails to ensure outputs meet quality and regulatory requirements.
- Build rapid prototypes and translate them into production-grade systems.
- Create reusable libraries, SDKs and tooling to enable AI development throughout the firm.
- Stay current on the latest in applied AI. Read papers, evaluate new models, test out new tools.
- Participate in code review and architecture design, manage deployments, and support and contribute to the success of the overall Studio platform.
- Utilize the latest AI-powered development tools to iterate quickly.
Other
- We're looking for people who take ownership, learn quickly, and deliver without heavy oversight in a fast-moving environment.
- Collaborate with technical and non-technical teams across the firm to identify high ROI AI opportunities.
- Comfortable working in a dynamic environment, partnering with cross-functional teams, and moving from prototype to reliable production.
- The opportunity to join a fast-growing team of passionate people, where you can make a significant difference.
- requiring employees to be in the office 4 days per week.
