Top Remote Senior Level Artificial Intelligence Software Engineer Jobs

Own and lead backend products from architecture through production operation. Design high-traffic APIs and microservices, improve application and database performance, build real-time distributed data services, and enhance reliability, observability, automation, Kubernetes workloads, and cloud efficiency. Review code, establish engineering standards, coordinate dependencies, communicate tradeoffs, and drive ambiguous technical initiatives through rollout.

Own the end-to-end development of a secure SMS Adapter connecting retail and grocery store systems, beginning with BRdata, to Ottimate’s AP platform. Responsibilities include sync architecture, retries, conflict handling, local credential security, monitoring, testing, packaging, updates, installation, and deployment on Windows machines. The engineer will work directly with pilot customers to troubleshoot network, permissions, and data-access issues while evolving data models and integrations for additional store systems.

Own and improve Attentive's first-party data collection across the JS tag, Cloudflare Workers, and Java backend. Expand edge compute capabilities, build agentic AI systems to detect and fix data-quality issues, harden the event ingestion pipeline for reliability and observability, and lead technical direction on a small autonomous team while mentoring engineers.

Serve as the primary engineer building PartnerAlly’s AI-native compliance platform. Own end-to-end product development across frontend, backend, infrastructure, compliance automation workflows, and AI/LLM integrations. Make pragmatic technical decisions, ship frequently, incorporate customer feedback, and help establish engineering culture while hiring future engineers.

Design, build, and optimize scalable backend services, APIs, and data pipelines. Integrate with third-party billing/commerce systems, maintain serverless/event-driven architectures on AWS, ensure security and performance, implement automated tests and CI/CD, mentor engineers, and drive architectural decisions.

Build and maintain scalable backend systems and data pipelines for healthcare workflows. Collaborate cross-functionally to automate provider and patient workflows, prototype features, ship production-ready code, and ensure systems are maintainable and scalable.

Build and manage Ironclad workflows, integrations, automations, reporting, permissions, and secure AI connections across Legal, Finance, RevOps, Sales, and other business systems. Develop reliable API integrations with monitoring, error handling, and retries; improve contract data visibility; administer releases and change management; troubleshoot issues, manage vendors, document processes, and train users.

Lead design and delivery of enhancements to a next-generation AI agent platform. Own large features and infrastructure, mentor engineers, set technical standards, drive cross-team initiatives, improve reliability and SLOs, and influence product and process decisions to scale systems supporting millions of interactions.

Build and maintain full-stack features for Suwali, translating broad goals into practical plans and delivering work from exploration through deployment and follow-up. Collaborate with technical and non-technical colleagues, assess user feedback and data, communicate progress clearly, and contribute to product decisions. The role requires production engineering across frontend and backend systems, with potential future responsibility for managing and mentoring engineers.

Own developer-experience workflows from discovery through adoption, acting as product manager, designer, and engineer. Build internal tools including TypeScript and React interfaces, backend services, APIs, CLIs, CI/CD integrations, and AI-enabled workflows. Conduct user research, define product scope, design experiences, ship software, measure adoption, and drive rollout. Candidates need 5+ years of software engineering experience and experience building developer-facing products.