Top Remote Software Engineer Jobs in Ogden, UT

The role involves overseeing full-stack development, creating APIs, improving microservices, and collaborating with cross-functional teams to enhance mental health care interfaces.

As a Full Stack Software Engineer, you will lead product features from design to implementation while mentoring other engineers in AI-native workflows. Responsibilities include building scalable backend systems, creating responsive UIs, and driving architectural decisions in a high-urgency environment.

Design and operate GTM data pipelines, integrate AI workflows, manage Salesforce configurations, and partner with sales/marketing to improve system efficiency.

Seeking a Senior Full Stack Developer focused on backend architecture to design, maintain, and mentor within an Agile environment, utilizing Java and .NET.

As a Senior Support Engineer, you will enhance customer support for LanceDB by building infrastructure, maintaining knowledge-bases, troubleshooting customer issues, and collaborating with engineering teams. Your expertise in distributed databases and proficiency in Rust and Python will help optimize cloud-native database deployments.

The Optimization Engineer will lead the development of optimization platforms using real-time data and asset intelligence to make automated market decisions while enabling collaboration between teams for operational excellence.

Lead development of AI-powered full-stack applications, mentor engineers, define technical direction, build performant front-end and scalable backend services, integrate LLMs/RAG, and establish engineering best practices for production AI workflows.

The Staff/Principal Engineer will lead AI-assisted engineering efforts, architect solutions using C#, React, and Python, and drive MLOps initiatives while mentoring senior engineers in a healthcare technology context.

The Deployed Engineer will build demos and POCs, support customer questions, manage technical relationships, update documentation, and collaborate with engineering to drive customer success.

The Solutions Engineer integrates AI capabilities into the Centerline AI product, engages with customers for feedback, and coordinates with engineering teams to implement improvements.