Top Software Engineer Jobs in Detroit, MI

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.

Design and deliver enterprise-grade Java-based solutions and architectures. Produce HLD/LLD, guide development teams, define APIs/integration, enforce security and performance best practices, and collaborate with stakeholders and DevOps on CI/CD and deployments.

Design and deliver scalable, secure enterprise Java solutions. Produce HLDs/LLDs, define APIs, enforce standards, guide development teams, promote microservices, integrate systems, and collaborate with DevOps for CI/CD and deployment.

Develop responsive web applications using Angular or React, create reusable UI components, translate designs into HTML/CSS, integrate REST APIs, and optimize frontend performance. Maintain Kubernetes environments and deploy containerized applications using Docker, Jenkins or Azure DevOps, and CI/CD pipelines. Troubleshoot infrastructure, networking, deployment, and application issues across development, staging, and production environments.

The Head of Engineering will drive technical direction, develop product architecture, and eventually lead the engineering team while coding and building AI systems.

Develop and implement AI-driven applications, workflows, integrations, and ServiceNow solutions for enterprise customers. Gather requirements, configure and customize ServiceNow modules, integrate external systems through REST and SOAP, implement AI capabilities such as Now Assist and Virtual Agent, and manage coding, testing, documentation, deployments, UAT, incident remediation, and production support. The role also involves CMDB, Discovery, service mapping, event management, scripting, and collaboration with technical stakeholders.

Develop and support ERP solutions using ABAP/OOABAP and related technologies (RAP, OData, CDS). Perform design, unit testing, performance tuning, debugging, and collaborate with functional teams (SD, PP-PI). Work in Agile/SCRUM environments, ensuring quality, accountability, and effective communication.

Develop and maintain scalable full-stack applications, REST APIs, microservices, and responsive user interfaces. Integrate internal and third-party systems for real-time data synchronization, optimize application performance, implement security controls, and troubleshoot production issues. Collaborate with analysts, quality engineers, program managers, and data science teams to deliver enterprise applications. Support code reviews, CI/CD, deployments, monitoring, and ongoing maintenance.

Build scalable backend-heavy services and applications using C# and .NET, while contributing to Angular and TypeScript UI development. Design and develop REST APIs and microservices, work with relational databases, implement automated testing and CI/CD, and ensure system security, scalability, and performance. Preferred work includes event-driven architectures, messaging systems, NoSQL databases, caching, search technologies, and mentoring engineers or leading technical initiatives.

Design, build and maintain Microsoft Cloud applications using Power Apps/Pages and Azure services. Implement Entra ID authentication, Azure Functions/App Services, Logic Apps and Blob storage. Create Azure Data Factory pipelines and APIs (REST/GraphQL), integrate external services and LLM data pipelines, and ensure performance, security, and scalability while collaborating with customers to turn requirements into streamlined apps.