Top Tech Jobs & Startup Jobs in Los Angeles, CA

Develop and enhance enterprise AI agents, orchestration workflows, conversational applications, and AI-powered automation using Python, LangGraph, and LangChain. Integrate AI solutions with enterprise systems and APIs, implement planning, memory, tool-calling, observability, and monitoring capabilities, and support production-grade generative AI platforms. Collaborate with engineering teams and stakeholders on architecture, reliability, performance, testing, and scalable AI engineering practices.

Design, develop, test, deploy, and support scalable cloud-native applications using Java, Spring Boot, React, TypeScript, and Node.js. Build REST APIs, microservices, PostgreSQL data models, integrations, CI/CD pipelines, and containerized deployments. Improve application reliability, observability, security, performance, and scalability while troubleshooting production issues. Collaborate with Product, UX, QA, DevOps, Architecture, and engineering teams through design sessions, code reviews, planning, and client-facing workshops.

Advises enterprise executives on AI transformation for contact center and customer service operations. Develops AI strategies, roadmaps, business cases, operating models, and value realization frameworks. Leads executive workshops and defines use cases involving virtual agents, agent copilots, analytics, automation, and agentic AI. Evaluates platforms and technologies, provides vendor-neutral recommendations, and partners with clients, vendors, and delivery teams to guide successful implementation.

Build enterprise workforce management software for forecasting, capacity planning, scheduling, adherence, intraday management, and reporting. Develop Java and Spring Boot microservices, React and TypeScript applications, REST APIs, event-driven workflows, integrations, and PostgreSQL data models. Support cloud-native deployments, CI/CD, testing, performance optimization, production troubleshooting, and technical design. Collaborate with product, operations research, QA, DevOps, UX, and client stakeholders.

Build, configure, test, and document Google CCAI contact center solutions, including DTMF IVR menus, call flows, queues, routing, transfers, integrations, virtual agents, and Agent Assist. Execute structured testing, support UAT, resolve configuration defects, maintain requirements traceability, prepare technical documentation, and collaborate with customer stakeholders. The role requires extensive production CCaaS experience, Google CCAIP expertise, API-based integrations, CRM connectivity, and conversational AI implementation.

Build enterprise workforce management software for forecasting, staffing, scheduling, adherence, intraday management, and operational reporting. Develop Java and Spring Boot microservices, React and TypeScript applications, REST APIs, event-driven workflows, PostgreSQL data models, integrations, and cloud-native deployments. Support CI/CD, production troubleshooting, performance optimization, architecture discussions, code reviews, and stakeholder collaboration across product, QA, DevOps, UX, and operations.

Develop and support scalable cloud-native applications using Java, Spring Boot, React, TypeScript, Node.js, PostgreSQL, and microservices. Responsibilities include building REST APIs, integrations, CI/CD pipelines, containerized deployments, observability, automated testing, and production support. The engineer will collaborate with product, UX, QA, DevOps, architecture, and clients while improving application performance, resilience, and maintainability. Workforce Management, Customer Experience, contact center, cloud, messaging, and secure API experience are advantageous.

Design and build enterprise-scale programmable voice platforms, APIs, call-control services, media processing, and real-time communications infrastructure. Develop Java and Spring Boot backend services, integrate contact-center and CX platforms, and troubleshoot signaling and call-quality issues. Define scalability, security, observability, disaster recovery, and other non-functional requirements. Lead architecture and technical delivery, establish engineering standards, review designs and code, manage technical risks, and collaborate with clients, vendors, and cross-functional engineering teams.