Top Remote Python Jobs in Provo, UT

The Software Engineer (Backend) will develop solutions for large scale problems, design and implement scalable applications, and improve Machine Learning infrastructure. Responsibilities include analyzing requirements, maintaining software, and managing project deadlines.

As a Senior Software Engineer at Quansight, you'll focus on numerical and high-performance computing, contributing to open-source projects like PyTorch and NumPy. Your responsibilities include developing features, performance enhancements, and maintaining code, all while collaborating with clients and mentoring team members. Deep learning knowledge is a plus, and the role offers growth in the Python open-source community.

Podium is looking for a talented Senior Software Engineer with expertise/interest in building agentic applications using large language models (LLMs). In this role, you will be joining a team of smart and dedicated engineers tasked with empowering local businesses by creating AI agents that efficiently handle customer interactions to optimize operations and reclaim valuable time.

As a Software Architect at Saviynt, you will lead the architecture of the PAM SaaS platform, collaborating with teams to design scalable cloud solutions, drive technical decisions, and develop multi-tenant products. You will manage architecture for performance and security, improve infrastructure components, and contribute to product strategy.

Join Blocknative's engineering team to architect and build innovative blockchain products. Responsibilities include developing transaction detection systems, collaborating with cross-functional teams, and contributing to the company's product roadmap and development processes.

The Platform | DevOps Engineer will enhance infrastructure and deployment pipelines while maintaining and scaling services. Responsibilities include designing and implementing Terraform and Ansible playbooks, creating scalable architectures, and integrating DevOps best practices. Close collaboration with cross-functional teams is essential for continuous improvement.

The Senior AI Solutions Engineer will assist customers in solving complex machine learning challenges using Weights & Biases tools. Responsibilities include implementing machine learning pipelines, articulating product best practices, conducting demos, and collaborating with sales and engineering teams to ensure technical success during the pre-sales process.