Top Hybrid Software Engineer Jobs

As a Full Stack Software Engineer, you will design and develop EHR integrations and clinical workflows using TypeScript, React, and AWS. Responsibilities include building backend services, collaborating with DevOps, and integrating third-party services to enhance patient engagement.

Develop and optimize computer vision and deep learning models for visual inspection in manufacturing automation, collaborating with cross-functional teams.

As a Software Engineer at Ambrook Labs, you will prototype AI applications, run customer experiments, build evaluation frameworks, and contribute to defining operational practices.

Lead cross-functional development teams and partner with senior stakeholders to define and deliver end-to-end software solutions. Own architecture and full SDLC, design and support mission-critical systems, set architecture standards and best practices, mentor engineers, and integrate cloud, containerization, CI/CD, database, and AI/ML technologies into scalable applications.

Insight M is seeking applications for various roles, including software and hardware engineers, data scientists, and customer success managers. They emphasize collaboration, creativity, and a flexible working environment. Though specific positions may not be currently open, they welcome candidates to apply as the company grows.

Design and build native iOS features for investment and cash accounts, write automated tests, integrate with design systems and backend APIs, own projects end-to-end, collaborate with cross-functional teams, mentor peers, and support production iOS app and CI through on-call rotations.

As a Senior Full Stack Engineer, you will develop AI-enhanced solutions, collaborate with teams, and optimize learning experiences using various technologies.

As a Principal Software Engineer, you will build AI agents for customer workflows, drive innovations in identity governance and cybersecurity, and serve as a liaison among engineering and customer teams, ensuring alignment on priorities and enhancing operational efficiencies.

The Staff Machine Learning Engineer will lead the development of ML systems targeting user growth and monetization, optimizing user experiences, and improving engagement.

The role involves developing tools for large-scale computation in printing workflows, focusing on job monitoring, error reporting, and improving existing systems.