Top Software Engineer Jobs

The Principal Engineer will lead the design and development of technical solutions, oversee project teams, and maintain existing solutions, focusing on APIs and innovative technology applications.

Lead design and implement a scalable, secure multi-tenant SaaS using .NET and Angular. Own end-to-end feature delivery, leverage AI-assisted coding, apply DDD/CQRS/event-driven patterns, optimize data and SQL performance, mentor engineers, and maintain CI/CD, observability, and automated testing.

Develop AI-driven solutions for sales execution focused on ERP integration, pricing engines, and optimization models while ensuring ROI alignment.

Join Knoetic as a Fullstack Product Engineer in a new AI pod. Own features end-to-end, work with customers, and improve engineering practices.

Design and build high-performance UI and APIs, manage database architecture, optimize systems for reliability and performance, and collaborate cross-functionally in a scientific context.

Senior Software Engineers will develop AI-native products, write maintainable code, deploy applications, and collaborate across teams to enhance learning experiences.

Contribute to AI-driven healthcare solutions by designing and building AI-centric features, integrating LLMs, and ensuring system reliability. Collaborate effectively and take ownership of projects in a fast-paced environment.

The role involves enhancing kernel performance and AI-assisted tooling through developer workflows, observability infrastructure, and optimization techniques, collaborating across engineering teams.

As a Full Stack Engineer, you'll develop platform capabilities, collaborate with teams to implement solutions, and integrate new technologies while ensuring architecture and security are sound.

The Senior Engineering Manager will lead engineering teams in a high-growth environment, prioritize tasks with Product, and coach developers.

Lead multiple teams in building production quality AI systems, ensuring reliable delivery and effective people management while establishing standards and practices.

This role involves developing AI-powered analytics interfaces and tools, collaborating with a skilled team to enhance customer data experiences.

Lead full-stack development and architecture across frontend, backend, and AI systems. Build scalable services, integrate models and data pipelines, collaborate with product/design, mentor engineers, and deliver high-impact features from design through production.

Lead the development of AI-assisted engineering practices and tooling, enhance developer experience, and implement security measures across the engineering team.

As a Business Process Automation Engineer, you'll design low-code solutions using Microsoft Power Platform and AWS tools, enhance workflows with AI, debug technical issues, and collaborate with stakeholders.

This role involves developing AI integration strategies for enterprise clients, building GenAI workflows for large-scale data, and maintaining customer relationships.

The Senior Backend Engineer will lead AI-focused projects, optimize data pipelines, mentor juniors, and enhance customer support through innovative technologies.

Design and develop AI systems for personalized travel and concierge services, focusing on integration and optimization of various technologies.

Lead the engineering team at Equi, building full-stack applications and AI-driven systems to support investment workflows. Drive technical decisions and enhance software solutions across departments while eventually leading an engineering team.

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

Lead and implement AI-assisted engineering workflows within software development, focusing on scalable AI integration, CI/CD automation, and team enablement.

Lead AI software resiliency development, implementing features for reliability and fault tolerance in large-scale AI supercomputers, requiring hands-on coding and collaboration.

Lead the design and development of AI solutions and MCP servers, focusing on AWS infrastructure and Python development. Responsibilities include automating processes, managing deployments, and conducting architectural governance.

The Principal Software Engineer will design AI-assisted developer tools, improve software development workflows, and integrate new technologies for government contracts.

Lead the development of AI compiler tools, enhance performance analysis, collaborate with hardware teams, and mentor engineers to improve compiler tooling.