Frontend-focused full-stack engineer to design and build AI-driven web product experiences, own feature development from concept to production, troubleshoot data consistency, deploy frequently, and collaborate closely with product, design, and machine learning teams to scale content.
We are seeking a skilled frontend-focused full-stack engineer to join our team in developing groundbreaking AI-powered product experiences. The ideal candidate will have a strong background in working closely with product, design, and machine learning teams, as well as experience in crafting polished consumer applications. This role is vital in shaping the future of our company through the development of innovative AI-driven language learning products.
Your Responsibilities:
Design and build unique AI-driven product experiences and user interfaces on the web
Troubleshoot and resolve intricate data consistency issues
Take charge of the entire development cycle for features, from concept to production
Rapidly develop code, deploy frequently, and make a significant impact on our business by helping us scale our content
Requirements
What We're Looking For:
4+ years of experience in creating highly polished web-based product experiences, including extensive expertise with React
Able to balance doing things "the right way" with the ability to build things quickly when necessary
Enjoy shipping products quickly and frequently
An excellent communicator who enjoys collaborating with people across all functions
Nice to Have:
Experience with Postgres
Experience in the identity domain: authentication, authorization, auditing
Experience with subscription systems
Experience with Kubernetes
Similar Jobs
Fintech • Machine Learning • Payments • Software • Financial Services
Leads large-scale full-stack engineering initiatives, technical architecture, and developer teams building distributed, cloud-native systems. Designs reliable microservices and platform solutions using modern programming languages, databases, containers, and cloud services. Partners with product leaders and architects on technology roadmaps, mentors engineers, establishes engineering standards, drives observability and performance improvements, and leads cross-functional technical initiatives.
Top Skills:
Ai Coding ToolsAPIsAutomated Testing FrameworksAWSAzureBitbucketC#Ci/CdDockerGCPGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKubernetesNode.jsNoSQLObservabilityOpen Source FrameworksPythonRdbmsRustScalaTypescript
Fintech • Machine Learning • Payments • Software • Financial Services
Architect and build the Global Payment Network’s real-time and batch data infrastructure, including event-driven pipelines, canonical data models, metadata and catalog systems, streaming, storage, and low-latency services. Establish technical standards for scalable distributed systems, partner with fraud, analytics, modeling, product, and risk teams, and mentor engineers as a senior individual contributor without direct reports.
Top Skills:
AWSFlinkGCPIcebergJavaScriptKafkaAzureSpa FrameworksTypescript
Kids + Family • Payments • Social Impact • Software
Build and scale full-stack products for child care businesses, agencies, and government organizations. Responsibilities include developing React and TypeScript frontend features, designing Node.js and Express backend APIs, operating cloud systems, improving performance and reliability, managing technical debt, conducting code reviews, collaborating cross-functionally, and engaging directly with customers. The role owns complex projects end to end and emphasizes rapid delivery, product impact, security, maintainability, and modern AI coding tools.
Top Skills:
ExpressGoogle Cloud Platform (Gcp)JavaScriptNode.jsReactRestful ApisTypescript
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
