Top Remote Senior Level Artificial Intelligence Software Engineer Jobs

Own and evolve patient-facing clinical application surfaces, including a React widget, clinician portal, and Python service layer. Lead full-stack architecture, AI application integrations, encounter data flows, internal tooling, versioned shared components, and operational reliability. Partner with AI engineers on LLM-enabled workflows, maintain dependencies, protect consumers from breaking changes, and mentor junior engineers. The role requires durable ownership of rapidly built systems and delivery of critical healthcare technology.

Design, build, deploy, and operate scalable backend platform services and shared libraries. Contribute to architecture, reliability, developer experience, continuous delivery, monitoring, alerting, and incident response. Investigate production issues, implement lasting fixes, participate in technical reviews, mentor engineers, and collaborate cross-functionally to deliver business value. The role also encourages thoughtful use of AI tools to improve productivity.

Build, patch, customize, and test Linux userspace packages for Rocky Linux products. Remediate CVEs, improve package-building automation, develop automated system tests, and support deployments across servers, virtual machines, and cloud infrastructure. Collaborate on architecture, proofs of concept, documentation, capacity planning, and launch reviews while contributing to open-source development and CI/CD practices.

Lead full-stack software development across frontend and backend systems, delivering user-facing healthcare features from concept through iteration. Design APIs and application architecture, write technical specifications, improve testing and CI practices, collaborate with product, AI/ML, clinical, and UX teams, and guide cross-team technical decisions. The role involves React, Python, cloud infrastructure, databases, asynchronous workflows, and healthcare data technologies.

Build performant, accessible front-end interfaces for AI agents, dashboards, conversational user interfaces, and visualization tools. Collaborate with designers, AI engineers, and backend developers to create scalable components, optimize cross-browser experiences, and iterate on UX using testing, feedback, and usage data.

Own Quvia Grid’s optimization layer for government connectivity programs. Formulate bandwidth allocation, routing, scheduling, and capacity models; implement production solvers and heuristics; select and tune optimization methods; validate solution quality; diagnose deployed-system performance; document model behavior; and translate customer mission constraints into deployable software. The role requires extensive operations research experience, strong software engineering skills, customer engagement, and eligibility for a Secret clearance.

Designs and scales high-performance backend web services and ETL pipelines supporting tens of thousands of transactions per second. Responsibilities include architecting fault-tolerant distributed systems, improving performance, developing monitoring and deployment strategies, collaborating across product and engineering teams, and supporting recruiting and onboarding. The role requires expertise in data-intensive systems, microservices, cloud architectures, and commercial SaaS products.

Lead technical execution for teams building endpoint agents, backend and inference services, cloud infrastructure, and customer-facing products. Translate engineering priorities into plans, milestones, and ownership; guide architecture and implementation; manage, mentor, and develop engineers; oversee planning, delivery, quality, hiring, and onboarding; and remove technical or resourcing blockers. The role requires hands-on technical judgment, distributed systems experience, and familiarity with agentic coding tools in a fast-moving startup environment.

Build and operate secure, reliable cloud infrastructure, storage systems, and data pipelines for specialized legal and privacy workloads. Translate legal, privacy, and security requirements into scalable, auditable architectures; manage chain of custody and data integrity; partner with Legal, Privacy, Security, Research, and Infrastructure teams; and deliver production systems under fixed deadlines. The role also requires advising nontechnical stakeholders and extending shared infrastructure for novel legal requests.

Serve as a technical partner for utility customers across pre-sales discovery, implementation scoping, pilots, and end-to-end deployments. Build integrations with asset management, GIS, inspection, and reporting systems; develop reusable deployment tooling and AI agents; address security and architecture concerns; identify expansion opportunities; and translate recurring field needs into product improvements. The role is approximately 80% customer-facing and requires close collaboration with Sales, Product, Solutions, and Engineering.