Reduce latency in AI-powered financial answers
Simplify fragmented and legacy-heavy architecture
Improve cross-dataset querying and screening
Ship new datasets and product capabilities without increasing systemic complexity
Optimize orchestration between LLM workflows, structured datasets, and services
Introduce performance benchmarks, observability standards, and SLO discipline
Improve reliability and correctness of AI-backed financial responses
Reduce fragmentation across datasets and services
Partner with data platform teams to define scalable dataset integration patterns
Remove legacy complexity while continuing to ship
Contribute directly to backend and frontend systems powering financial data experiences
Define durable contracts between AI-generated outputs and frontend consumers
Ensure performance and usability at both API and product layers
Drive technical initiatives spanning multiple engineering teams
Align stakeholders on service boundaries and system design decisions
Raise the bar for system design, reliability, and operational rigor.

12+ years building and operating production systems
Experience operating at a Staff or Principal level
Proven ability to simplify complex systems and reduce architectural entropy
Strong background in distributed systems and performance optimization
Experience building AI-integrated systems (LLM orchestration, tool usage, retrieval, evaluation)
Comfortable working across backend systems and modern frontend frameworks (e.g., React)
Experienced designing APIs and durable service contracts
Effective at driving cross-team technical initiatives.

Principal Software Engineer, Financial Data Platform – GenSearch Agent

Key skills