Top Tech Jobs & Startup Jobs in Los Angeles, CA

Build and scale production-ready generative AI applications: design multi-agent workflows, implement advanced RAG with vector DBs, integrate/swap LLMs, fine-tune models, and deploy scalable FastAPI/Docker services with monitoring and optimization for latency, cost, and reliability.

Lead a cross-functional engineering team to plan and deliver cloud and application modernization. Translate target-state architectures into delivery plans, assess systems for modernization, drive hands-on cloud-native microservices and event-driven implementations, enforce engineering standards, conduct reviews, mentor engineers, and escalate technical risks to leadership.

Lead modernization of the Salesforce ecosystem by optimizing development practices, reducing technical debt, improving performance and integrations, enforcing best practices (Service Cloud/Apex/API), implementing version control, and providing technical leadership, documentation, and training to enable scalable, cost-effective solutions.

Lead and deliver complex programs from planning through execution and close, managing budgets, cross-functional teams, vendors, and stakeholder communications. Ensure program quality, customer satisfaction, timely reporting, and adherence to project management practices and lifecycle processes.

Lead engineering and develop API-focused full‑stack solutions for brokerage products. Design scalable architectures, build secure cloud-native applications (AWS), drive API strategy, implement CI/CD and DevOps practices, mentor team members, and ensure code quality via TDD/BDD and security/static analysis tools.

Design, develop, and deploy machine learning and deep learning models; build end-to-end ML pipelines including preprocessing, training, evaluation, and deployment; perform feature engineering on large datasets; deploy and monitor models on cloud platforms; collaborate with cross-functional teams to integrate AI solutions and retrain models as needed.

Lead design and implementation of automated testing solutions and QA strategies. Build scalable automation frameworks, integrate tests into CI/CD pipelines, collaborate with cross-functional teams, and drive quality improvements across the software development lifecycle.

Operate and monitor ML/AI models and agentic systems in production. Build AI observability, logging, tracing, and evaluation pipelines. Monitor LLM outputs, detect drift and model degradation, and maintain data/feature pipelines. Develop CI/CD, model versioning, experiment tracking, and automate alerts and incident remediation while collaborating with data scientists and platform teams.

Designs and executes automated and manual tests, develops test strategies, creates/maintains automation scripts, manages test data and plans, runs regression and performance tests, reports defects and metrics, and liaises between business testers and development teams.

Lead design and delivery of enterprise Pega BPM/Case Management solutions for financial services. Implement Pega Infinity (24.x+), Constellation/Cosmos, perform upgrades, integrate with RDBMS/Oracle and AWS/Pega Cloud, and support deployment, decisioning, connectors, and frontend scripting. Collaborate with stakeholders in Agile delivery.