Top Tech Jobs & Startup Jobs in NYC, NY

Reposted 11 Hours AgoSaved
Remote
United States
150K-185K Annually
Senior level
150K-185K Annually
Senior level
Artificial Intelligence • Mobile • Software
Design, build, test, and maintain production-ready, scalable API services and platform solutions using microservices and containerization. Collaborate with engineers, Data Engineers, CloudOps and Product to deploy and operate services on cloud platforms, ensure observability and readiness, and participate in Agile lifecycle activities.
Top Skills: Apache AirflowApi GatewayAWSAws CdkBashC++Ci/CdCloudFormationContainerizationDockerEc2GoGraphQLGroovyGrpcJavaKmsMicroservicesPostgresProtocol BuffersPubsubPythonRdsReactReduxRestS3TerraformVpc
Reposted 3 Days AgoSaved
Remote
United States
150K-175K Annually
Senior level
150K-175K Annually
Senior level
Artificial Intelligence • Mobile • Software
As a Senior Software Engineer, you'll design, develop, and maintain production-ready API solutions, collaborating with cross-functional teams while utilizing cloud technologies and agile methodologies.
Top Skills: Amazon Web ServicesBashC++Ci/CdDockerDocumentdbDynamoDBGoJavaScriptMongoDBPythonRdsReactRedux
4 Days AgoSaved
Remote
United States
220K-275K Annually
Senior level
220K-275K Annually
Senior level
Artificial Intelligence • Mobile • Software
Lead product strategy and execution for the Check Intelligence portfolio, translate check processing and fraud trends into product requirements, manage a team of product managers, partner with engineering and data science to deliver fraud prevention and decisioning capabilities, own roadmaps, KPIs, go-to-market alignment, and cross-functional stakeholder engagement.
Top Skills: AnalyticsAPIsArtificial IntelligenceBiometric RecognitionComputer VisionDecisioningFraud DetectionImage CaptureImage IntelligenceMachine LearningRisk ScoringSaaS
Reposted 9 Days AgoSaved
Remote
United States
160K-185K Annually
Senior level
160K-185K Annually
Senior level
Artificial Intelligence • Mobile • Software
Design, build, and operate production-grade AI systems using ML, LLMs, RAG, and agentic workflows. Define evaluation strategies, implement data/retrieval/orchestration layers, apply MLOps/LLMOps, and partner with stakeholders to prioritize, monitor, troubleshoot, and improve AI solutions balancing quality, latency, cost, reliability, and maintainability.
Top Skills: Agentic AiCloud-Native DeploymentComputer VisionContext EngineeringData PipelinesData PlatformsDistributed SystemsExperimentationGraph DatabasesHuman-In-The-LoopLarge Language Models (Llms)LlmopsMachine LearningMlopsModel Fine-TuningMonitoringObservabilityOrchestrationPrompt EngineeringPythonRetrieval-Augmented Generation (Rag)Vector Databases
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