Principal Software Engineer, Financial Data Platform & GenSearch Agent

About the role

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

Who You Are

• 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

What You’ll Do

• Improve AI & Performance
• 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
• Simplify Architecture
• Reduce fragmentation across datasets and services
• Partner with data platform teams to define scalable dataset integration patterns
• Remove legacy complexity while continuing to ship
• Build & Evolve Web Products
• 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
• Lead Across Teams
• 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