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Hummingbird

51 - 200 employees

đź’Ľ Consulting

⚖️ Legal

đź“‹ Compliance

Consulting • Legal • Compliance

Hummingbird is a platform dedicated to enhancing financial crime compliance operations. It offers a range of tools and solutions for regulatory reporting, automating Suspicious Activity Reports (SARs), anti-money laundering (AML) investigations, and customer due diligence. By leveraging automation and artificial intelligence, Hummingbird streamlines workflows, improves productivity, and reduces the time spent on manual compliance tasks. The platform serves a variety of financial institutions, including banks, fintechs, and crypto companies, as well as government and law enforcement agencies. Hummingbird aims to provide a unified view of risk and compliance, enabling more accurate and efficient investigations and decision-making processes.

đź“‹ Description

• Design, implement, and ship customer-facing AI features end-to-end, with focus on measurement, observability, and real-world performance • Architect and deliver reliable, fast systems handling high data volumes and complex workflows • Improve AI grounding quality through permission-safe retrieval, citations, and evaluations • Drive latency and cost improvements for fast, seamless user interactions • Collaborate with Product, Design, and engineering teams from discovery through iteration • Help define AI product capabilities and strategy • Drive ambitious projects from concept to completion with autonomy • Iterate on existing features including the context-aware AI Assistant and Review Agent

🎯 Requirements

• Experience shipping 0-1 products to real users, ideally AI products • Strong focus on quality, testing, and security • Solid backend engineering experience • Data fluency and operational maturity • Strong engineering fundamentals • Curiosity about new technologies and unfamiliar domains • Ability to turn complex ideas into elegant, understandable solutions • Iterative, collaborative approach to incorporating feedback • Product intuition and ability to communicate and partner with Product and Design • Bonus: experience with OpenSearch or other vector databases, Snowflake, evaluation frameworks such as Langfuse, or fintech and compliance domains • Technologies used and taught include AWS, Azure, PostgreSQL, Redis, Terraform, CircleCI, Nix, Docker, Ruby/Rails, Python, OpenAI, React, JavaScript, TypeScript, GraphQL, and d3

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