Top AI Engineer Jobs in Los Angeles, CA

Contribute to building and hardening micro-apps and AI integrations on a shared GCP platform. Complete bug fixes and small features, participate in code and design reviews, apply security and software development best practices, monitor applications and follow runbooks, and use AI tools to assist development, testing, and documentation while learning from senior engineers.

Design, train, test, deploy, and maintain deep learning computer vision models focused on sensor fusion and target tracking. Collaborate cross-functionally to implement real-time, embedded and GPU-accelerated systems (Python, C/C++, Rust, CUDA/RAPIDs), contribute to fire control system development, and support architecture and deployment (microservices, Kubernetes) for space and missile-warning solutions. Requires security clearance.

Design, build, and deploy ML models and end-to-end pipelines; implement MLOps practices; deploy containers to cloud production; monitor model performance and drift; collaborate with engineers and product teams; optimize latency and throughput; write production-quality code and mentor junior engineers.

Early-career role to build, operate, and improve cloud data/analytics platforms (Fabric, Snowflake, Databricks). Support platform operations, CI/CD for analytics assets, onboarding for BI tools (Power BI/Tableau), runbooks, monitoring, incident response, and basic security/governance. Work under senior mentorship and contribute to automation, deployment templates, and performance triage.

Design and deliver LLM-powered, agentic AI systems to automate customer support and compliance. Build scalable, secure backend infrastructure in Python and Go, integrate third-party models/APIs, implement grounding and guardrails, and measure performance. Lead end-to-end projects, mentor engineers, conduct code reviews, and participate in on-call and incident response to improve resolution times and reduce operational costs.

Design and build LLM-powered agents for hardware product development. Responsibilities include ensuring effective coordination among engineering disciplines and integrating AI systems with existing tools.

Integrate and fine-tune existing AI models into production features, build evaluation frameworks and observability for AI performance, collaborate with data science and engineering, develop AI-powered features in Python, and troubleshoot and monitor models in real-world scenarios.

Design, build, and deploy production-grade ML systems for ICS/xOT cybersecurity, including threat detection, anomaly detection, NLP/LLM applications, and scalable data pipelines with observability and MLOps practices for cloud and on-prem environments.

Design and implement AI-native solutions for defense customers by integrating ML/LLM tools, full‑stack development, cloud platforms, and agentic workflows. Collaborate with engineers, data scientists, and mission experts to deliver secure, production-ready software for the U.S. Space Force.

Build end-to-end AI-driven automations across finance, operations, and clinical-support: browser automation for invoices, document data extraction, internal AI agents, data integrations, and fast prototypes. Work directly with the CAIO to turn loose specs into shipped tools.

Join Capsule as an AI Engineer to develop ML models for video editing. Responsibilities include researching ML techniques, collaborating on feature development, and optimizing model performance.

The Staff AI Engineer will design and deploy production-level AI systems, guiding architectural decisions and collaborating with teams to build AI features at scale.

As an Applied AI Engineer, you'll build AI agents and experiences from concept to production, collaborating across teams and optimizing systems for usability and quality.

Senior technical leader responsible for architecting and building cloud-native, microservices-based platforms with AI capabilities. Lead design and delivery of scalable search and AI solutions (LLMs, RAG), data pipelines, search optimization (Elastic/OpenSearch/Solr), CI/CD and DevOps adoption, observability, and mentor engineering teams while driving responsible AI practices and stakeholder collaboration.

Lead AI transformation and technical pre-sales for Finance & Supply Chain ERP, driving POCs, workshops, demos, and technical win strategies. Engage C-suite and technical decision makers, collaborate with partners and engineering, address Copilot/AI Agents compliance and security concerns, and support pipeline creation, deal velocity, and competitive wins for D365 F&SC and Microsoft AI solutions.

Build and operate Coinbase's LLM and agent platform: design the LLM gateway, agent runtime, knowledge bases, AI spend governance, observability/eval tooling, and ship production agents while partnering cross-functionally to ensure secure, cost-effective, and responsible generative AI at scale.

Design, prototype, and deploy LLM-powered agents, RAG workflows, and automations that accelerate internal teams and customer-facing product features. Integrate AI systems with SaaS tools, build reusable components and evaluation frameworks, embed with business teams to deliver measurable outcomes, and establish standards for responsible AI, monitoring, and cost control across the company.

Lead the architecture, build, and deployment of AI-driven automation and intelligent systems to solve security, compliance, and risk challenges. Develop real-time intelligence, workflow automation, and risk-based decision-making tools, and engage customers and partners to refine and deploy production-grade solutions.

Conduct research and develop biometric and AI algorithms; design and execute large-scale experiments to evaluate accuracy, robustness, fairness, and security; build production-oriented software components and research tools; collaborate with cross-functional teams to transition research into scalable biometric systems; produce technical publications, patents, and support customer engagements and demonstrations.

Build infrastructure and AI systems for Hardware Intelligence: agent infrastructure, retrieval and evaluation pipelines, and tooling to reason over large-scale time series, telemetry, and engineering datasets. Prototype and ship AI-powered workflows for anomaly investigation and root cause analysis, work directly with customers, and establish engineering patterns as the platform scales.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Design, develop, test, document, and deploy state-of-the-art AI/ML applications (LLMs, CV, sensor/data fusion). Collaborate cross-functionally to productionize models, define software/testing requirements, perform rapid prototyping, and follow software engineering best practices. Must hold active US Government Secret clearance.

Responsible for developing an AI Agent platform to enhance business productivity, integrating AI with core processes, and leading system architecture design.

The AI Software Engineer will design and develop AI/ML models, training and fine-tuning them for engineering applications, collaborating with engineers to streamline operations and enhance software development at SpaceX.

Assist the AI engineering team with NLP research, language model development, data annotation, experiments, and model evaluation. Support multilingual translation, content moderation, analytics, and other language-related features for a football-focused social and messaging platform.