Top Remote Jobs in Tucson, AZ

This role involves submitting applications and maintaining candidate information for future job openings at Sumeru Equity Partners.

The Solutions Engineer collaborates with sales to meet customer needs, conducts demos, develops proposals, and ensures product implementation and support.

Build and extend Kubernetes orchestration for AI inference: implement CRDs/controllers in Go, design high-performance ingress/load-balancing, implement GPU-aware autoscaling (HPA/VPA), tune scheduler/resource management, and ensure HA for platform components.

Lead account strategy and execution for an education-focused client. Manage timelines, budgets, and cross-functional teams; review and elevate creative; guide campaigns across paid, earned, owned, and social channels; use AI tools to streamline workflows; maintain client and internal communications and quality control.

The Director of Enterprise AI Enablement will lead AI transformation initiatives, manage an AI Enablement team, oversee AI product selection, and ensure best practices in AI governance, fostering a culture of innovation and change management across the organization.

You will design and implement scalable backend systems integrating August infrastructure with third-party DeFi protocols while collaborating with engineering teams.

Design, build, and own LLM-powered product features that help users manage finances. Implement prompt engineering, RAG and retrieval systems, evaluation datasets/scorers, multi-agent orchestration, and production ML/AI services. Collaborate with AI Platform on routing, observability, and production quality.

The Engagement Manager will lead strategic initiatives for clients in Revenue Operations, managing teams, conducting discovery sessions, and optimizing processes using CRM systems and analytical tools.

As a Staff Software Engineer at Saris AI, you will lead the design and architecture of core systems, build AI-powered software for financial workflows, and drive engineering excellence while collaborating with product and leadership teams.

Responsible for managing Cribl data streams and creating realistic datasets. Build and administer high-scale pipelines and stream data into logging tools.