Top Remote Software Engineer Jobs in Raleigh-Durham, NC

Lead and architect front-end and full-stack features, balancing performance, accessibility, and maintainability. Partner with design, back-end, and product teams, mentor junior developers, improve tooling and workflows, review code, and evaluate emerging tools (including AI) to deliver high-quality interactive experiences.

The Staff Software Engineer will lead AI integration into software design, develop scalable systems, and mentor other engineers while improving best practices.

Lead Leap's engineering function: hire and scale a high-performing team, own the technical roadmap and architecture, build AI-native data and production ML systems (LLMs/agents), and deliver correct, auditable healthcare workflows for drug identity, causal attribution, and intervention automation.

Design, build, and own end-to-end features for AI-powered finance agents and agent orchestration. Implement integrations with accounting and payment platforms, create dashboards and reporting, ensure security and data integrity, make architectural choices, monitor production, and drive AI-assisted, agentic development workflows.

Design and implement features for a Rust-based agent engine, focusing on optimizing performance, communication, and reliability for task automation.

The Software Engineer will develop a modern data platform, manage architecture, write reusable code, and ensure system integrations. Responsibilities include collaborating with teams, documenting processes, and enhancing applications.

Lead design and operate the enterprise integration platform across Azure, Dynamics 365, Databricks, CDP, payments, contact center, and AI surfaces. Define API/event standards, govern runtime (APIM, Service Bus, Event Grid, Logic Apps, Functions), ensure security, observability, delivery quality, and mentor the integrations team while coordinating cross-functional stakeholders and external partners.

We are seeking a product-minded backend engineer to work on our Customer Studio product, focusing on data performance, analytics, audience syncing, and generative AI. The role requires strong architecture, scalability considerations, and product engagement.

Build and iterate on Growth product features and platforms to improve user activation and developer onboarding. Run A/B experiments, collaborate with Product and Design, write well-tested code, contribute to engineering best practices, and help scale event-driven infrastructure and growth tooling.

Lead the development of AI-powered trading systems, focusing on building pipelines, enhancing research with AI, filtering signals, and managing infrastructure for data processing in a fast-paced trading environment.