Staff Software Engineer

November 7

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AlphaSense

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Artificial Intelligence • Finance • Enterprise

AlphaSense is a market intelligence and search platform that empowers companies to unlock critical insights across an extensive universe of public and private content, including company filings, broker research, expert calls, and market trends. Its AI-driven technology affords users the ability to conduct comprehensive due diligence with speed and accuracy, reducing uncertainty and blind spots in decision-making. Trusted by major corporations, financial institutions, and asset management firms globally, AlphaSense serves sectors such as financial services, health care, and technology by providing generative AI-powered solutions that integrate internal proprietary data with external premium content.

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

💸 Finance

🏢 Enterprise

💰 Debt Financing on 2022-06

📋 Description

• Design and deliver production-grade systems and scalable AI pipelines, integrating models such as LLMs, BERT, and other architectures into Alphasense product. • Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents. • Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc. • Drive technical excellence through robust system design, algorithm optimization, and high-performance model deployment. • Collaborate cross-functionally with product and business stakeholders to align technical strategies with roadmap goals, ensuring business impact and delivery predictability. • Own end-to-end execution — from requirements to release — facilitating technical discussions, unblocking teams, and accurately forecasting deliverables. • Ensure quality and reliability by proactively engaging in release planning, maintaining high development standards, and upholding service SLOs/SLIs in production. • Apply strong DevOps practices to monitor, troubleshoot, and optimize production systems, anticipating and resolving risks early. • Partner with other Engineers in the team to shape engineering standards, mentor peers across teams, and cultivate a culture of learning, documentation, and shared technical ownership.

🎯 Requirements

• Expert in building scalable, high-performing, and robust applications in Python • Several years of production-level experience designing, deploying, and maintaining Python-based systems • Hands-on experience (1–2 years) working with AI models such as LLMs, BERT, or similar architectures at a large scale • Strong understanding of algorithms, data structures, complexity analysis, problem-solving, and object-oriented design • Proficient with Kubernetes or equivalent container orchestration platforms • Deep understanding of SQL/NoSQL databases and data modeling principles • Experience working with cloud infrastructure (AWS, Azure, or GCP) and Infrastructure as Code (IaC) tools • Experience in owning services end-to-end — building, running, performing iterative improvements and observability • Strong experience in writing RFCs, creating technical documentation, and driving engineering best practices

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events