Top Remote Senior Level Artificial Intelligence Software Engineer Jobs

Design, build, and operate enterprise applications, APIs, integrations, and distributed event-driven systems using C#/.NET, React, cloud platforms, and messaging technologies. Integrate business systems, implement resilient architectural patterns, add AI capabilities, and support CI/CD, observability, security, and production troubleshooting. Collaborate with stakeholders and engineers, contribute to technical standards, lead projects when needed, and deliver reliable solutions across engineering, manufacturing, supply chain, and finance functions.

Leads software engineering teams developing scalable, resilient, secure applications using React, Java, Spring Boot, Azure, and modern full-stack technologies. Oversees architecture, performance, deployment, infrastructure collaboration, technical issue resolution, Agile delivery, team capacity, stakeholder alignment, and continuous improvement across the product lifecycle. Provides technical leadership and supports end-to-end product quality for healthcare technology solutions.

Leads a high-performing software engineering team responsible for customer activation, engagement, and expansion across a travel marketplace. Oversees end-to-end project delivery, promotes AI-driven engineering practices, improves agile processes, and partners with product, data, and design. Drives experimentation, scalability, security, technical excellence, and customer-focused product adoption while developing team talent and aligning engineering priorities with business goals.

Deploy and integrate PagerDuty’s SRE Agent into strategic customer production environments, connecting infrastructure-as-code, GitOps, CI/CD, observability, and incident-management systems. Build reusable agent tools, connectors, evaluation pipelines, and safety guardrails; run customer pilots; resolve adoption blockers; contribute production code to the core product; and shape technical roadmaps. The role combines staff-level software engineering, production LLM and agent-system development, technical consulting, customer engagement, and frequent travel.

Build Apollo’s AI-powered Builder Studio end to end, including chat-driven app creation, live previews, generated-app runtimes, workflows, integrations, delegated permissions, security, and reliability. The role requires strong full-stack development, production LLM experience, frontend expertise with complex UIs, backend and workflow design, and ownership of an ambiguous 0-to-1 product.

Build and maintain infrastructure tooling for thousands of servers and distributed services. Responsibilities include host provisioning, configuration management, rapid code deployment, service monitoring, automated testing, linting, and infrastructure supporting high-volume real-time data pipelines. The role involves end-to-end project ownership, frequent code delivery, debugging complex distributed systems, and collaboration within a high-performing engineering team.

Lead backend engineering for a high-performance, data-intensive SaaS platform. Responsibilities include defining technical vision, designing scalable and highly available systems, executing technical projects, participating in architecture decisions, monitoring and optimizing services, improving CI/CD and infrastructure, conducting postmortems, mentoring engineers, documenting practices, and aligning with partner teams.

Leads customer deployments as a hands-on engineering manager, writing production code, building AI agents and integrations, solving complex technical problems, and advising enterprise stakeholders. Builds and coaches the forward-deployed engineering team, develops repeatable deployment processes, and converts customer-specific solutions into reusable platform capabilities. The role requires experience with enterprise deployments, regulated environments, engineering leadership, and production software development.

Lead technical execution and architecture for the Loyalty product. Own roadmap, design distributed services and APIs, ensure reliability/observability, integrate with ZMP and AthenaOS, build and coach engineering teams, and drive cross-team delivery of scalable multi-tenant loyalty capabilities.

Design and implement high-performance Go services for a distributed cloud control plane. Lead complex technical initiatives, develop gRPC and REST microservices, solve distributed-systems and operational challenges, mentor engineers, improve architecture and workflows, and support production systems through on-call monitoring and incident response.