Top Software Engineer Jobs

The Principal Engineer, Applied AI will lead the implementation of AI integration standards, scale AI literacy, mentor engineers, and drive AI-centric strategies to modernize development processes.

Seek an AI-Driven UI/UX Developer to design and implement user interfaces in code, collaborating with AI tools, while ensuring performance and quality.

Develop and maintain AI systems, collaborate with teams, debug production issues, and mentor engineers to ensure high-quality AI features.

The Director of Engineering will lead the Epiq AI Labs team, focusing on hands-on engineering and team management, and will ship production code while mentoring engineers and ensuring quality standards.

The Research Engineer will develop AI algorithms for autonomous systems, collaborating with teams on end-to-end solutions and data-driven models.

The role involves delivering features across the CRM platform for distributors, using AI tools, handling fullstack development tasks, and collaborating closely with teams and customers.

Develop and implement AI solutions for HR at Thermo Fisher Scientific, focusing on chatbot design, integration, and architecture within enterprise standards.

Design and implement end-to-end AI/ML software solutions to modernize client systems. Build developer-focused tools and prototypes, apply best practices for software workflows, and collaborate to refine experimental tooling while considering ecosystem and future enhancements.

As a Lead Software Engineer, you will design AI-driven backend systems for accounting, integrating LLMs, ensuring performance and security, and collaborating with teams on AI solutions.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

As a Senior Software Engineer, you will develop AI agent applications, focusing on performance, integration with systems, and mentorship of junior engineers.

Design, build, and operate cloud backend services powering connected hardware: device connectivity, telemetry ingest, state management, and data pipelines. Own features end-to-end, lead medium projects, mentor juniors, collaborate with firmware/mobile/platform teams, apply AI-native engineering practices, and participate in on-call incident response and post-mortems to ensure scalable, secure, reliable systems.

Lead development of AI agent frameworks for Windows, optimizing performance, ensuring security, and collaborating with AI research teams. Mentor engineers and establish best practices.

Design and implement systems software for high-performance GPU clusters. Debug complex distributed systems and own the systems lifecycle from design to production.

The Full Stack Software Engineer will build and maintain internal tools and AI integrations, improve workflows, and write high-quality code to support business growth.

The Full Stack Software Engineer will develop internal tools and AI integrations, maintain web applications, and enhance backend services while ensuring code quality and workflow optimization.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Forward Deployed AI Engineer designs, builds, and deploys intelligent applications using Python and related technologies, addressing customer needs and leading deployment projects.

The role involves developing and enhancing a revenue cycle management platform, ensuring efficient data access for healthcare providers, and collaborating with clients to address their needs.

The Applied AI Engineer will design, build, and deploy enterprise-grade AI agents using LLMs, collaborate with customers, and mentor teams to enhance engineering quality.

The Senior Software Engineer will build AI products, create user-centric interfaces, and collaborate across teams to drive product growth through intuitive design and full-stack development.

Develop intuitive AI applications, collaborate with teams, lead software development, and drive product growth in a 0-to-1 environment.

Develop a unified AI platform by designing and building scalable applications, improving platform performance, and collaborating with ML engineers.

The Automation Engineer will design, maintain automation equipment, support sites, develop solutions, and ensure timely delivery of automation requirements.

The Director of Engineering will lead AI and computer vision initiatives, oversee engineering teams, drive product strategy, manage vendor relationships, and ensure successful delivery of AI-powered products.