Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design and iterate user-centered experiences: create user flows, wireframes, prototypes, and low/high-fidelity mockups. Incorporate customer feedback, usage metrics, and usability findings pre- and post-launch. Collaborate with product, engineering, business stakeholders, and executive leadership to inform and optimize UX.

Perform automated and manual security testing of applications, analyze scan results, report vulnerabilities, assist remediation, create test plans, conduct exploratory and penetration testing, and collaborate with development, infrastructure, and SecOps teams to secure preproduction code and configurations.

Design, build, and deploy production Generative AI applications: orchestrate multi-agent workflows, implement advanced RAG with vector DBs, integrate and fine-tune LLMs, develop scalable FastAPI/async backends, containerize with Docker, and optimize GenAI systems for latency, cost, and reliability.

Design, configure, and support LiveVox contact center solutions including dialer campaigns, IVR workflows, routing, agent desktops, integrations (APIs/CRM/SFTP), reporting, compliance, testing, and production support to optimize call performance and KPIs.

Define and drive end-to-end architecture for cloud-native, scalable microservices and responsive React frontends. Lead teams, create HLD/LLD, enforce standards, implement CI/CD and observability, ensure security, and guide technical decisions across development lifecycle.

Design and implement high-performance Angular frontends for AI-driven interfaces: real-time SSE/WebSocket streaming, complex state with Signals/NgRx, Chain-of-Thought visualizations, human-in-the-loop controls, performance optimization, API schema collaboration, and testing.

Lead platform architecture design and strategy to ensure scalable, reliable cloud-native systems. Guide teams on microservices, APIs, IaC, containers, CI/CD, security, and performance optimization. Establish governance, standards, and documentation while collaborating with product, DevOps, QA, and stakeholders.

Lead development and execution of company AI strategy, architect scalable AI/ML solutions, manage an AI/ML team, oversee model development and productionization, ensure governance/compliance, partner cross-functionally to deliver measurable AI projects and optimize model performance using MLOps and LLM technologies.

Plan and run end-to-end qualitative and quantitative user research (interviews, usability tests, surveys, field studies). Synthesize insights, create deliverables (reports, personas, journey maps), support A/B and usability testing, collaborate with PMs, designers, and engineers, and contribute to long-term research strategy to improve digital product UX.

Design and build Java/J2EE solutions using Spring and APIs; develop webservices, DB schemas, PL/SQL and transactional SQL in DB2/Oracle; collaborate with architects, developers and DevOps to implement CI/CD (Jenkins, uDeploy), ensure code quality (Sonar), perform code reviews and testing, resolve technical roadblocks, and drive process improvements. Requires strong communication and teamwork.