Top Remote Senior Level Artificial Intelligence Software Engineer Jobs

Leads a team of 10 engineers building and maintaining NIBRS and compliance reporting capabilities for public safety records platforms. Oversees technical quality, validation, certification, delivery, incident follow-through, resource allocation, and team development. Partners with product, R&D, agencies, and regulators to implement federal and state reporting requirements, improve engineering operations, and define the roadmap for new states, report types, automation, and platform capabilities. The role is remote within the United States with travel of up to 25%.

Lead the Case Strategy Engineering team, owning data models, databases, APIs, services, and full-stack workflows supporting AI- and ML-driven healthcare reimbursement strategies. Partner with Data Science and AI Platform teams to productionize models, build feedback systems, guide architecture, connect engineering outcomes to customer lift and ARR, and grow an experienced engineering organization.

Engineering Lead responsible for Chariot Claims’ consumer acquisition and claim-filing funnel, claimant communications, evidence and signature collection, dispute scheduling, and payment disbursement systems. The role owns technical direction, rapid experimentation, platform foundations, AI-native tooling, and team hiring and development. Candidates should have staff-level production software experience, strong product judgment, early-stage startup experience, and familiarity with payments or money-movement systems.

Senior Software/SRE Engineer responsible for building Go, Python, and TypeScript/React applications; designing architecture; reviewing code; operating Kubernetes infrastructure across AWS and GCP; managing Terraform-based infrastructure; improving CI/CD and GitOps workflows; and ensuring reliability, observability, security, and HIPAA compliance in patient-facing systems.

Develop and maintain open-source Python frameworks and ML developer tools, architect scalable libraries, grow early-stage projects, build real-time streaming capabilities, integrate modern frontend technologies, and collaborate with open-source contributors and the broader developer community.

Build AI development workflows, agent orchestration systems, collaborative tooling, generative creative pipelines, SDKs, and infrastructure that help teams rapidly prototype and productionize educational experiences. The role spans infrastructure, product, and creative tooling, with responsibility for autonomous agents, asynchronous workflows, multimodal asset generation, reusable engineering primitives, and technical support for a small collaborative team.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.

Build and operate full-stack, cloud-native applications for network automation and mission platforms using Python, Go, JavaScript, and TypeScript. Develop APIs, AI agents, generative user interfaces, integrations, and telemetry workflows. Contribute to CI/CD, Infrastructure as Code, containerized deployments, production troubleshooting, security, observability, and architecture. Collaborate across software, cloud, platform, product, and security teams in an ambiguous, mission-focused environment.

Design, build, and operate payment services for card processing, refunds, reconciliation, and processor integrations. Develop scalable Kotlin and Java Spring Boot APIs, optimize PostgreSQL schemas and SQL, and implement idempotency, retries, webhooks, audit trails, and reconciliation. Respond to payment incidents, conduct root cause analysis, collaborate cross-functionally, review architecture and code, and mentor engineers. The role requires strong distributed-systems, payments, PCI DSS, debugging, and production operations experience.

Design, implement, test, and deploy high-performance infrastructure for autonomous vehicle software, including logging frameworks, robotics middleware, operating-system components, software deployment systems, and sensor interfaces. Improve system performance, reliability, usability, and safety in resource-constrained environments. Collaborate with autonomy, cloud, and safety teams while applying robust testing, code review, concurrency, and systems programming practices.