Principal Software Engineer

🕒 il y a 4 mois

🇺🇸 États-Unis – Télétravail

💵 $246 000 - $339 000 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

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AlphaSense

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2011

🤖 Intelligence artificielle

💸 Finance

🏢 Entreprise

💰 Debt Financing en 2022-06

Artificial Intelligence • Finance • Enterprise

AlphaSense est une plateforme de veille stratégique et de recherche qui permet aux entreprises de découvrir des informations cruciales à travers un vaste univers de contenu public et privé, incluant les dépôts d'entreprises, les recherches de courtiers, les appels d'experts et les tendances du marché. Sa technologie basée sur l'intelligence artificielle offre aux utilisateurs la possibilité de réaliser une due diligence complète avec rapidité et précision, réduisant l'incertitude et les lacunes dans la prise de décision. Reconnue par des grandes entreprises, des institutions financières et des sociétés de gestion d'actifs dans le monde entier, AlphaSense dessert des secteurs tels que les services financiers, la santé et la technologie en fournissant des solutions alimentées par l'IA générative qui intègrent des données propriétaires internes avec du contenu premium externe.

Description

• 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

🎯 Exigences

• 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.

🏖️ Avantages

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