Principal Software Engineer, Financial Data Platform & GenSearch Agent

AlphaSense is a leading company in AI-driven market intelligence, helping professionals make informed decisions. They are seeking a Principal Software Engineer to enhance their GenSearch financial data platform by optimizing AI performance, simplifying architecture, and evolving web products.

Responsibilities:

• 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
• 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

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