Top Software Engineer Jobs

The role involves developing scalable backend systems in Go and other languages, building high-volume analytics, and designing APIs for ML workflows.

As a Senior AI Product Engineer, you will build scalable services and front-end applications, design APIs, and enhance AI product offerings, focusing on improving user experience and collaboration with engineering teams.

Build production-ready AI-native applications, agentic workflows, cloud infrastructure, data platforms, integrations, and DevOps systems supporting nuclear engineering workflows. Responsibilities may span front-end/full-stack development, agentic AI, data and systems integration, or platform infrastructure. The role partners with systems engineering, licensing, and quality teams, documents architectures, maintains development and QA standards, and supports reliable, compliant delivery in a hybrid environment.

Develop and maintain full-stack web applications using C#/.NET, ASP.NET, SQL Server, JavaScript, React or Angular, Azure, and microservices. Responsibilities include architecture, requirements analysis, coding, testing, debugging, deployment, production support, technical documentation, and troubleshooting across on-premises and cloud environments. The role also applies LLM coding agents, agentic coding, and prompt engineering while collaborating with business users, analysts, QA teams, and vendors.

Design, build, and operate scalable software, cloud services, IoT workflows, microservices, and device software for digital dentistry and 3D printing. Own features end to end from requirements through observability, improve reliability, performance, and cost, and collaborate with technical leaders, product managers, and global engineering teams. Integrate AI and algorithms across native applications and cloud systems while maintaining strong standards for scalability, testability, documentation, and operational excellence.

Design and build scalable, cloud-native backend services and AI-powered applications. Implement agentic AI solutions and integrate LLMs with enterprise systems. Develop REST/GraphQL APIs, microservices, and event-driven architectures. Deploy on AWS, containerize with Kubernetes/Docker, build CI/CD pipelines, and ensure observability. Collaborate with cross-functional teams to deliver secure, high-performance enterprise solutions and leverage AI-assisted developer tools.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Technical Lead will oversee software architecture, mentoring teams and leading the design and implementation of AI-augmented enterprise software solutions.

The Principal Software Engineer will lead the design and build-out of an AI Context Layer, ensuring high-quality data for AI systems, while managing access control and developer interfaces, and leading cross-team projects.

As a Software Engineer in Frontier AI Infrastructure, you'll design secure systems for the public sector, improve engineering standards, and collaborate with cross-functional teams to meet government requirements. You'll also participate in customer engagements and contribute to the product strategy while ensuring compliance with federal regulations.

Design, build, and maintain scalable enterprise full-stack applications using Java, Spring Boot, microservices, and modern front-end frameworks. Implement cloud-based solutions on AWS, contribute to CI/CD and DevOps automation, optimize performance and security, and integrate AI-driven capabilities using Python and orchestration tools like LangChain and LangGraph.

You will build agentic AI products across web, backend, and iOS, owning features end-to-end and mentoring junior teammates.

Lead design and rewrite of cloud-native core systems. Build scalable back-end services and front-end features, drive architecture and testing discussions, mentor engineers, and improve telemetry, performance, and reliability.

Build, operate, and scale cloud-native backend services and APIs for a high-volume vehicle marketplace. Embed AI-driven capabilities into features, use AI tools to accelerate development, participate in on-call rotations, improve reliability, and collaborate with Product, Data, Infrastructure, and SRE teams to deliver production-ready systems.

The Advisor Lab Automation Software Engineer will design and implement software integrations for lab automation, focusing on AI-driven processes, while providing technical leadership and mentoring.

As a Software Engineer at Paces, you will build AI automation solutions to expedite power development, working closely with industry experts and taking ownership of projects to enhance scalability and features.

Build end-to-end AI integrations in a cybersecurity platform: gather contextual security data, call and optimize AI services, map responses to actionable UI (React), implement error/fallback handling, monitoring, caching, and user feedback loops while working directly with customers.

The AI Tools Architect/Tech Lead role involves designing AI personas, maintaining AI configuration artifacts, and leading impactful engineering teams. The candidate will innovate with AI coding tools, evaluate code review agents, and drive organizational change through documentation and collaboration across teams.

Design and implement high-performance C++ backend systems for defense autonomy products. Build scalable, reliable infrastructure for contested environments, collaborate with researchers and customers, own architecture through deployment, and support Ann Arbor site growth while interfacing with DoD programs.

Build and productionize scalable backend services, APIs, and AI workflows to connect requirements, modeling, validation, and test data for autonomous vehicle programs. Implement traceability, versioning, dashboards, and KPIs, refactor prototypes into certifiable systems, and collaborate with systems engineering, safety, and autonomy teams to support compliance and validation at scale.

Sola seeks a Software Engineer for Desktop Automation to own and enhance their execution platform, focusing on reliability and integrating with AI pipelines.

The AI Product Engineer will design, build, and ship AI features for clean energy finance while collaborating with various stakeholders to improve transaction processes.

The Senior Full Stack Engineer will enhance customer onboarding and AI financial planning features by building robust systems and leading engineering best practices.

Seek a Senior Back End Engineer to develop AI-driven applications, mentor engineers, and solve complex engineering challenges while focusing on scalability and data integrations.

Hands-on founding engineer building a production Shopify app, storefront widget, video upload flow, and AI extraction pipeline. Ship, harden, and operate full-stack systems, ensure reliability and conversion-focused UX, and scale tooling for self-serve merchant onboarding.