Top Software Engineer Jobs

Lead integration and sustainment of an AI-driven knowledge management platform. Define system architecture, oversee integration and deployment, manage CI/CD and Agile practices, and ensure secure, reliable, and scalable system delivery with verification, validation, and lifecycle sustainment.

The Senior Software Engineer will build AI solutions for clinical workflows, collaborating with teams to enhance software architecture and mentor other engineers.

As a Principal Software Engineer, you'll design and deploy ML-powered tools, build scalable backend systems, and engage with clients for AI solutions. You'll work on R&D for innovative tools and manage cloud operations to support ML models.

Early-career full‑stack software engineer shipping weekly production features and LLM-powered products (tutoring agents, copilots, dashboards). Work closely with founders and senior engineers, own small systems end-to-end, run AI coding workflows, and write evals and regression tests for AI features.

The AI Assisted Software Engineer will design and develop enterprise software solutions, utilizing AI-assisted tools, and architect scalable systems while collaborating across teams to improve business operations.

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

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.

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

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

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

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

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.

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

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

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

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

Lead clients in designing and deploying Microsoft Azure AI solutions. Oversee multiple projects, engage in client discussions, and support sales efforts.

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

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 role involves building AI agents for healthcare practices, focusing on reliability, data pipelines, automation, and production systems.

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

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 the enterprise cloud and application transformation strategy, focusing on App to Cloud modernization, driving microservices adoption, guiding development practices, and providing leadership across teams.