Design, build, and deploy end-to-end AI-powered applications and agentic systems. Integrate LLMs and RAG/vector search, develop APIs and UIs, operationalize models, and own CI/CD, containerization, monitoring, and reliability. Mentor engineers, contribute to architecture, and partner with product and security teams to ensure scalable, secure AI production systems.
Full Stack & AI Application Development •Design and build end-to-end AI-powered applications using modern frontend and backend frameworks. •Integrate LLM and agentic AI components into user-facing and system-facing workflows. •Develop APIs and services that support agent orchestration, tool calling, and workflow execution. •Build intuitive UIs for AI-assisted workflows, human-in-the-loop interactions, and monitoring. Agentic AI & Production Systems. Work with ML/Data teams to operationalize models and agentic systems into production. Implement RAG pipelines, vector search integration, and AI inference layers. Handle model lifecycle concerns: versioning, configuration, evaluation hooks, and rollout strategies. Build safeguards, validations, and fallback mechanisms for AI-driven workflows. DevOps, Reliability & Scale Own CI/CD pipelines, containerization, and deployment of AI applications. Ensure systems meet performance, scalability, security, and reliability requirements. •Implement logging, monitoring, alerting, and cost visibility for AI and application components. •Collaborate with platform and security teams to ensure compliance and operational readiness. Architecture & Collaboration. Contribute to system and application architecture decisions for AI platforms. •Write clean, maintainable, well-tested code and review contributions from peers. •Mentor engineers and raise the bar on engineering and AI delivery practices. •Partner with product and business teams to translate requirements into technical solutions. •7+ years of hands-on experience as a Full Stack Engineer or Senior Software Engineer. •Strong proficiency in backend development Python. Strong experience with modern frontend frameworks React. •Hands-on experience integrating AI/ML or LLM-based services into applications. •Solid understanding of REST APIs, microservices, and distributed systems. Design and build end-to-end AI-powered applications using modern frontend and backend frameworks.
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
