Principal Software Engineer (Financial Data Platform & General Search Agent)
Posted Updated
- At AlphaSense, GenSearch is a production, customer-facing generative AI system delivering high-confidence answers across multiple domains
- Our team owns the financial data agent within GenSearch — connecting AI reasoning to structured financial datasets — as well as the financial data web experiences that power fundamentals, M&A, screening, and other core capabilities
- We are hiring a hands-on Principal Engineer to help us:
- 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
- This role sits at the intersection of AI systems, financial data infrastructure, and product-grade web development
- 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
Benefits
- Work from home opportunities
- Strong background in distributed systems and performance optimization
- 12+ years building and operating production systems
- Experienced designing APIs and durable service contracts
- Effective at driving cross-team technical initiatives
- Experience building AI-integrated systems (LLM orchestration, tool usage, retrieval, evaluation)
- Experience operating at a Staff or Principal level
- Comfortable working across backend systems and modern frontend frameworks (e.g., React)
- Proven ability to simplify complex systems and reduce architectural entropy
