Top Remote Engineering Jobs

Leads the design, development, and maintenance of complex backend software systems. Owns significant features end to end, makes architectural decisions, improves scalability and performance, ensures code quality, mentors engineers, and collaborates with cross-functional teams. Builds production-ready C# and .NET APIs within microservices and containerized environments, using cloud databases and services. Participates in code reviews, testing, debugging, and continuous improvement.

Hands-on mechanical and data engineering role focused on transforming engineering data into high-quality AI training and evaluation datasets. Responsibilities include CAD modeling, annotation, reference design creation, data quality standards, workflow tooling feedback, customer data support, and cross-functional collaboration with product, research, engineering, and customer teams. The role requires strong mechanical/manufacturing expertise and experience with CAD, technical documentation, assemblies, GD&T, and engineering artifacts.

Leads technical capability, commercialization, process readiness, and product industrialization programs for Meals & Beverages manufacturing. Manages technical and quality teams, establishes risk management and trial-readiness standards, drives process health and continuous improvement, and supports successful innovation scale-up. Partners with Manufacturing, Quality, and R&D to improve safety, quality, cost, consumer acceptance, and business results while developing employee capabilities and ensuring compliance.

Assist in developing and maintaining cross-platform Flutter apps for Android and iOS, implement UI/UX with Flutter widgets, integrate Firebase and REST APIs, debug and optimize performance, and collaborate with the team while staying current with Flutter/Dart technologies.

Own and evolve production infrastructure for AI workloads, including Kubernetes, cloud-native migrations, scheduling, orchestration, observability, infrastructure as code, deployment workflows, security, reliability, and incident recovery. Partner with engineering and business operations teams to build dependable platform capabilities. The role requires deep production Kubernetes experience, strong cloud and Linux fundamentals, architectural judgment, automation skills, and end-to-end ownership of infrastructure systems.

Lead and grow an engineering team building agentic development systems. Set technical direction, contribute to architecture and implementation, and improve agent execution, tool use, context management, streaming, reliability, performance, and operability. Partner with Product and Design to create developer experiences while extending provider-agnostic model integrations. Coach engineers, clarify priorities, and maintain a high technical and execution standard.

Lead and grow a full-stack engineering team building Mural’s AI-native Compose product. Own end-to-end delivery, architecture, code quality, reliability, experimentation, and roadmap execution in partnership with Product and Design. Hire, coach, and manage engineers while maintaining a hands-on technical role through code reviews and architecture decisions. Guide production LLM feature development, including evaluation, quality monitoring, and cost management, within a remote-first culture.

EHRI Engineer II role at Brown University Health, working remotely from Rhode Island during weekday daytime hours. The provided description does not include specific responsibilities, required qualifications, technologies, travel expectations, or security clearance requirements. The position offers an annual salary range of $90,729.60 to $149,697.60.

Support a remote contract project by configuring design libraries, smart features, systems, and templates in AutoCAD Electrical. The engineer will apply strong AutoCAD Electrical expertise to establish and organize electrical design resources during a two-month project.

Develop and ship full-stack, AI-powered applications using Unframe’s platform. Collaborate with product teams, research teams, internal stakeholders, and enterprise customers to tailor solutions, extend platform and UI/UX capabilities, and integrate AI functionality into production. Write clean, tested, maintainable code and own features from concept through deployment.