Top Software Engineer Jobs in Detroit, MI

Supports website and web application development, AI/ML integration, API and database work, cloud technologies, prototypes, testing, troubleshooting, and brand-improvement initiatives. Collaborates with corporate support teams to identify automation and technology opportunities. The internship provides hands-on experience with web development, emerging AI technologies, and internal tools in a small government contracting environment.

Designs, develops, tests, documents, and operates large-scale distributed software products for Allstate’s Enterprise Payments organization. Responsibilities include building Java and Spring Boot REST APIs, designing microservices, collaborating on system architecture, practicing paired programming and test-driven development, establishing CI/CD pipelines, improving performance, securing APIs, supporting production applications, and contributing to Agile planning, retrospectives, and knowledge sharing.

Build and ship full-stack features, including REST APIs, single-page applications, data models, cloud-based containerized services, and relational database solutions. Translate product requests into deliverable work, contribute to architectural decisions, review pull requests, and protect patient data by maintaining strict PHI-handling practices. Work in a trunk-based development environment with short-lived branches, frequent releases, and continuous collaboration.

Maintain and support Java-based healthcare SaaS applications across multiple customer environments. Responsibilities include bug fixes, feature delivery, refactoring, deployments, security remediation, SQL and data migrations, code reviews, configuration improvements, and production support. The role requires a generalist software engineer comfortable with Java, Angular, SQL, REST APIs, enterprise applications, and customer-facing environments.

Provides cross-program technical authority for flight and ground software, setting architecture, standards, technical direction, and roadmap. Leads complex technical decisions, reviews, verification, security, risk management, and software readiness across programs. Mentors senior technical leaders, drives reuse and platform standardization, represents software engineering to customers and partners, and establishes AI adoption strategies across the organization. The role does not own program delivery, schedules, or line management.

Develop, maintain, enhance, and support a mission-critical HUD enterprise application using Java, JavaScript, SQL, and related web technologies. Responsibilities include full-stack development, UI and API implementation, database workflows, troubleshooting, code reviews, testing, releases, deployment support, documentation, and compliance with security and accessibility standards.

Develop and maintain LabArchives electronic laboratory notebook, inventory, and scheduler products. Collaborate with product, operations, and support teams to design, build, test, release, and improve software features across front-end, back-end, and database layers. Create unit tests and expand automation frameworks, participate in code reviews, security audits, and accessibility evaluations, and contribute to continuous improvement in a remote environment.

Design, build, and optimize scalable cloud and web software with focus on infrastructure, performance, and hardware integration for IoT devices. Collaborate with hardware teams to ensure connectivity and high availability, implement new features, and improve system efficiency.

Leads US application engineering across public and private sector engagements, building and scaling high-performing technical teams. Oversees end-to-end delivery of AI and software programs on the Symmetri Platform, ensuring quality, profitability, reusable components, and client value. Partners with Product to shape roadmaps, supports GTM activities and business development, develops senior client relationships, and drives innovation, technical excellence, talent development, and scalable delivery practices.

Forward Deployed Engineers embed with customers to identify operational problems, analyze imperfect data, rapidly prototype and deploy AI-powered solutions, and drive adoption. Responsibilities include building pipelines, models, dashboards, optimizers, agents, and operational applications; collaborating with stakeholders; training users; improving platform capabilities; and supporting follow-on customer opportunities. The role requires technical execution, product thinking, client partnership, commercial awareness, and significant travel.

Own and expand a Three.js/R3F in-browser solar configurator: build and optimize 3D geometry tools and UX, collaborate with backend and simulation teams, ensure performant real-time rendering, and deliver frontend product features across the Aether platform.

Own and expand a Three.js-based in-browser solar configurator: implement and optimize 3D geometry tools and workflows, build product-facing frontend features, collaborate with backend and computational teams, translate solar physics into usable design tools, define frontend/3D architecture, and ensure performant, stable UX across edge cases.

Build scalable data pipelines, automation workflows, internal tools, and AI-powered quality-control systems. Lead data collection projects for frontier AI labs, establish quality frameworks, improve customer support processes, and manage cross-functional execution. Collaborate with technical and non-technical stakeholders to solve ambiguous operational challenges and deliver datasets and systems that improve advanced AI models.

Own the direction and execution of critical AI development products. Build AI-assisted annotation tools, data exploration and visualization interfaces, RLHF workflow products, large-scale data processing systems, and tools for communicating complex instructions. Make autonomous technical and product decisions, lead ambiguous projects, ship rapidly, and collaborate with engineering and research leaders to support AI training and evaluation.

Design and build core fullstack systems powering Surge’s AI platform. Own frontend product decisions, backend architecture, and high-impact workflows for data collection, labeling, and evaluation. Ship scalable, reliable, intuitive tools while making autonomous technical decisions, collaborating with engineering and machine learning leaders, and maintaining high standards for usability, performance, and maintainability.