Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design, develop, deploy, and maintain backend components and large-scale cloud-based systems. Write tests, perform code reviews, debug, and collaborate with cross-functional teams to build scalable APIs, microservices, and reliable production software in an agile environment.

Design and implement scalable, secure, high-performance system architectures. Lead architectural reviews, define technical requirements with stakeholders, recommend technologies, mentor teams, mitigate technical risks, and drive best practices and innovation.

Design, build, and deploy production-grade Generative AI applications: multi-agent systems, advanced RAG pipelines, LLM integration and swapping, model fine-tuning and quantization, scalable FastAPI backends, containerized deployment, and monitoring/optimization for latency, cost, and reliability.

Design and evolve data-rich UI and dashboards for wealth products. Translate research into wireframes, high-fidelity UI, and prototypes. Own visual identity, design systems, and UI libraries. Create pixel-perfect typography, iconography, illustrations, and micro-interactions for self-service and advisor-supported workflows.

Lead the technical team by defining project requirements, schedules, and delegating tasks. Liaise with stakeholders, identify risks and contingencies, troubleshoot issues, run trainings, write progress reports, and present updates. Motivate staff, promote transparency, and stay current with industry trends to drive project success.

Lead architecture and implementation of scalable, secure software systems. Mentor engineers, translate product requirements into technical specs, drive SDLC and CI/CD, perform code reviews, solve complex engineering problems, and optimize processes for reliable production delivery.

Lead architecture, design, and delivery of Generative AI and ML solutions. Build scalable ML pipelines, LLM and RAG-based applications, vector DB integrations, and agent workflows. Drive MLOps, CI/CD, observability, security, and enterprise model orchestration. Provide technical leadership, mentor engineers, run Agile development, and shape AI strategy through POCs and platform innovation.

Lead systems analyst within an agile data squad to gather requirements, perform data analysis and mapping, modernize data platforms, validate data using SQL/Python, support ETL initiatives, and produce technical specifications and documentation for database projects.

Design, build, and productionize generative AI solutions: advanced Python development, LLM prompt engineering and fine-tuning, agent frameworks, RAG pipelines with vector DBs, API and cloud deployment, MLOps/LLMOps, model evaluation and Responsible AI practices, and translate business needs into scalable AI applications.

Design, architect, and build enterprise Java microservices and APIs; lead technical delivery, mentor engineers, implement cloud-native and CI/CD practices, design database schemas and PL/SQL, and develop blockchain/digital-asset solutions including smart contract work and lifecycle integration in financial services.