Responsible for software engineering work; the description provides no further details about specific duties, technologies, qualifications, or work environment.
Must be good at engineering
Similar Jobs
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Build and operate high-throughput backend services for AI agents, calendar, scheduling, integrations, real-time data pipelines, and APIs. Design platform infrastructure, event-driven systems, and client-server protocols using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams, improve reliability through testing and infrastructure as code, and mentor junior engineers.
Top Skills:
AWSAzureCi/CdClaude CodeCopilotCursorGCPGoInfrastructure As CodeKubernetesLlmsMachine Learning PipelinesPostgres
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Build and operate scalable backend services powering AI agent orchestration, real-time data pipelines, scheduling, conversation history, APIs, and platform infrastructure. Collaborate with AI, product, and front-end engineers to deliver AI-powered features, improve reliability, and support consumer and enterprise customers. The role includes infrastructure as code, testing, documentation, production debugging, cross-functional prioritization, and mentoring junior engineers.
Top Skills:
AWSAzureCi/CdClaude CodeCursorGCPGithub CopilotGoInfrastructure As CodeLlms
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Design, develop, and maintain scalable enterprise software for investment technology. The role involves building applications, conducting prototypes and proofs of concept, advising on technical direction, creating reusable components, integrating vendor APIs, and collaborating with global cross-functional teams. Engineers will use modern cloud, containerization, AI, application development, database, reporting, and DevOps technologies while continuously evaluating architecture trends and improving engineering practices.
Top Skills:
.NetAjaxAmazon RedshiftAngularAngular Material UiAnthropic ApiAsp.Net MvcAsposeAWSBusiness ObjectsCi/CdCrystal ReportsCSSDatabricksDockerGitGoogle Cloud PlatformGoogle GeminiHTML5JavaScriptJIRAJqueryKendo UiKubernetesLarge Language ModelsAzureNode.jsNoSQLOpenai ApiOraclePostgresPowershellPrompt EngineeringPythonReactRetrieval-Augmented GenerationSharepoint OnlineSnowflakeSQLTableauTeam Foundation ServerTelerikVector DatabasesWeb Api
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


