API Engineer (SE3 / SE4)
We are looking for experienced API Engineers (SE3 & SE4) to design, build, and deploy scalable API services and integration solutions that power AI/ML-driven business applications. This is a hands-on engineering role focused on backend development, cloud-native technologies, and AI integration.📍 LocationsCharlotte, NC (Hybrid)San Francisco, CA (Hybrid)Charlotte Nearby LocationsConcord, Huntersville, Matthews, Mint Hill, Pineville, Belmont, Mount Holly, Gastonia, Indian Trail, Cornelius, Davidson, Mooresville, Kannapolis, Monroe, Waxhaw, Fort Mill (SC), Rock Hill (SC), Tega Cay (SC)San Francisco Nearby LocationsOakland, Berkeley, Daly City, South San Francisco, San Bruno, Millbrae, Burlingame, San Mateo, Redwood City, Foster City, Belmont, San Carlos, Palo Alto, Alameda, Emeryville, Richmond, Walnut Creek, Fremont, Hayward, San Leandro🏢 Work ModelHybrid📄 Employment TypeContract🎯 Experience RequiredSE3: 4+ years of Software Engineering experienceSE4: 7+ years of Software Engineering experience🔹 Key ResponsibilitiesDesign, develop, and maintain scalable API-driven application services.Build integration layers connecting enterprise applications with AI/ML and predictive analytics solutions.Collaborate with Data Science teams to operationalize machine learning models.Develop backend services using Python and/or Golang.Design and implement RESTful APIs and microservices.Deploy and support containerized applications in cloud-native environments.Build, maintain, and troubleshoot CI/CD pipelines.Participate in architecture discussions and provide technical guidance.Partner with cross-functional teams to deliver AI-driven business solutions.Ensure application performance, scalability, reliability, and high availability.✅ Required SkillsProgramming LanguagesStrong experience with Python and/or Golang (Golang preferred)Java experience is a plusAPI & Backend DevelopmentPythonFastAPIDjangoFlaskRESTful APIsMicroservices ArchitectureEnterprise application developmentAI / ML Integration Experience integrating AI/ML capabilities into enterprise applicationsExposure to:Vertex AIGemini EnterprisePredictive AI/ML ModelsNLPClassification ModelsClustering ModelsDevOps & CloudContainerizationCI/CD PipelinesJenkinsGitFlow / GitOpsGoogle Kubernetes Engine (GKE)OpenShiftCloud-native deploymentsGCP (Preferred)Delivery pipeline setup and troubleshooting⭐ Ideal CandidateWe're looking for engineers who can bridge Application Development, API Engineering, AI Integration, and DevOps.Ideal Candidates Will HaveStrong backend application development experienceExpertise building production-grade API servicesExperience integrating AI/ML capabilities into enterprise applicationsHands-on cloud-native development experienceStrong DevOps and CI/CD knowledgeExperience working in cross-functional Agile teamsAbility to mentor team members while remaining hands-on🚫 Not the Right FitPure Java DevelopersPython Data EngineersETL DevelopersData-focused engineers without application development experience📩 Interested?Please Share Your Updated Resume Along WithCurrent LocationWork AuthorizationYears of ExperienceEarliest AvailabilityPreferred Location (Charlotte, NC or San Francisco, CA)Confirmation of Hybrid work availabilitySkills: integration,models,enterprise,application,cloud,api