About The Position

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.

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

Responsibilities

  • 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
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