Principal Software Engineer, Financial Data Platform & GenSearch Agent

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the SP 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Team: Our diverse Product Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search. At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves. 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, MA, 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. 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 For base compensation, we set standard ... (truncated, view full listing at source)