AlphaSense is a market intelligence company that leverages AI to provide insights from a vast array of content. They are seeking a Principal Software Engineer to enhance their GenSearch system, focusing on optimizing AI-powered financial responses and improving the architecture of financial data infrastructure.
Responsibilities:
- 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
Requirements:
- 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