Principal Software Engineer, Financial Data Platform & GenSearch Agent
Tech Stack
About the Role
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. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe.
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
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
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.
- 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.
- Lead Across Teams — Drive technical initiatives spanning multiple engineering teams.
Compensation Range: $246,000 — $339,000 USD
