Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design and build API-first, distributed full-stack applications integrating LLMs, RAG, and multi-agent workflows. Implement microservices, real-time features, observability, CI/CD, and cloud-native deployments while mentoring engineers and ensuring scalable, production-grade systems.

Design and implement scalable full-stack solutions using .NET and React. Lead architecture, cloud migration (AWS/Azure), microservices, and API development. Mentor developers, perform code reviews, resolve production issues, manage client interactions, and drive delivery with a focus on performance, security, and multi-tenant SQL Server architectures.

Lead development and maintenance of internal Python SDK frameworks and agentic workflows, build scalable FastAPI-based ML APIs, automate CI/CD with Jenkins and GitLab Runners, use Galileo for model evaluation and observability, and collaborate across teams to deliver production-grade autonomous systems.

Architect and implement MLOps strategies, design ML pipelines, mentor teams, and ensure compliance on Google Cloud, focusing on AI/ML best practices.

The AI Engineer will build AI-driven workflows, integrating customer requirements into scalable solutions while managing both front-end and back-end elements in a cloud environment.

Lead enterprise EKS consolidation and architecture: assess 20+ clusters, design a multi-tenant golden-cluster standard, define CNI/service-mesh strategy, enforce zero-trust IAM, implement IaC with Terraform, enable resilient ingress and storage patterns, validate via pilot Python workloads, and define lifecycle, DR (Velero/S3), and CI/CD (GitHub Actions runners) governance.

As a Technical Program Manager, you will lead AI/ML initiatives, ensure project delivery, manage stakeholders, and align technical strategies with business objectives.

The Sales Leader will drive AI and data services for AWS clients in the CPG sector, maintaining executive relationships and leading sales initiatives.

Design and scale GenAI/LLM infrastructure for multi-GPU environments. Perform GPU profiling and optimization, manage Slurm/OpenShift/Kubernetes clusters, enable NVIDIA GPU stack, build IaC templates, CI/CD automation, and support production deployments and client engagements for GenAI workloads.

Manage and expand insurance accounts, driving growth through AI and cloud solutions, while collaborating with internal teams and maintaining client relationships.