Principal Software Engineer

🕒 Janeiro 30

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $246.000 - $339.000 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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AlphaSense

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2011

🤖 Inteligência Artificial

💸 Finanças

🏢 Corporativo

💰 Debt Financing em 2022-06

Artificial Intelligence • Finance • Enterprise

AlphaSense é uma plataforma de inteligência de mercado e busca utilizada pelas principais empresas e instituições financeiras do mundo. Desde 2011, nossa tecnologia baseada em IA tem ajudado profissionais a tomar decisões de negócios mais inteligentes ao entregar insights de um amplo universo de conteúdos públicos e privados — incluindo documentos regulatórios de empresas, transcrições de eventos, calls com especialistas, notícias, publicações especializadas e Equity Research. Nossa plataforma é utilizada e confiada por mais de 3.500 clientes corporativos, incluindo a maioria das empresas do S&P 500.

Descrição

• Own the architecture and evolution of our large-scale data extraction and normalization platform • Design systems that process hundreds of thousands of records across heterogeneous sources (PDF, HTML, APIs, XLS) with high reliability • Define and implement strategies to minimize human-in-the-loop validation through AI-based validation, confidence scoring, provenance tracking, and deterministic safeguards • Establish clear system contracts for correctness, traceability, and confidence (e.g., “where did this number come from?”) • Balance AI-driven approaches with procedural and rules-based systems where they improve reliability and explainabilityIdentify and remediate architectural and operational bottlenecks impacting scale, accuracy, and developer velocity • Act as the technical authority to block poor designs, redesign critical systems, and introduce new platforms or tooling when necessary • Partner with product and downstream consumers to define quality bars, SLAs, and success metrics • Serve as a technical escalation point for production issues, reliability failures, and systemic risks • Mentor senior engineers, shape technical culture, and raise expectations for system design and execution • Contribute to long-term technical strategy while remaining hands-on with critical implementations

🎯 Requisitos

• 15+ years of experience building and operating large-scale production systems • Proven experience designing data ingestion, extraction, or processing systems at scale • Deep expertise in one or more of: • Distributed systems • Data platforms and pipelines • AI/ML-powered extraction or classification systems • Platform or infrastructure engineering • Demonstrated ability to design trustworthy systems that combine probabilistic (AI) and deterministic approaches • Strong understanding of system reliability, observability, failure modes, and iterative hardening • Experience reducing operational or human overhead through better system design • Track record of technical leadership across teams without formal people management • Comfortable operating in ambiguity and driving clarity where none exists • Passion for using AI responsibly and effectively to deliver scalable, high-confidence systems • Nice to Have • Experience with document understanding, NLP, or financial data extraction • Experience building provenance, lineage, or confidence-scoring systems • Familiarity with cloud-native architectures and modern data stacks • Experience shaping or owning internal platforms used by multiple teams.

🏖️ Benefícios

• You may also be offered equity, and a generous benefits program.