Top Remote Senior Level Artificial Intelligence Software Engineer Jobs

Develop and optimize enterprise Drupal platforms, including multisite deployments, custom modules, workflows, content architectures, integrations, and migrations. Provide technical oversight for security hardening, performance, CI/CD, and deployments. Collaborate with DevOps, security, UX, product, and cross-functional development teams while mentoring junior and mid-level engineers and supporting federal compliance requirements.

Design and scale Cohere’s Model Vault backend and inference platform. Lead architecture for authentication, deployments, billing, metering, customer lifecycle, and cloud control-plane services. Build reliable distributed systems with strong guarantees for security, privacy, consistency, isolation, observability, and failure recovery. Drive technically complex initiatives from threat modeling and architecture through implementation, production rollout, operations, and iteration at enterprise scale.

Build, maintain, and scale e-commerce backend services using Python and Django. Develop REST APIs and features for catalogs, inventory, carts, checkout, orders, payments, and accounts. Integrate third-party services, optimize databases and performance, implement security controls, write tested code, resolve production issues, and collaborate on architecture, planning, reviews, deployment, and CI/CD.

Develop and optimize Salesforce Marketing Cloud Personalization solutions, including web tracking, behavioral events, audience segmentation, campaigns, sitemaps, JavaScript customizations, Einstein recommendations, and integrations with Salesforce and other systems. Troubleshoot implementations, monitor performance, conduct A/B testing, ensure data quality and privacy compliance, and collaborate with business and technical teams in a remote client-facing environment.

Designs, develops, tests, debugs, and troubleshoots full-stack applications using Node.js, React, and Flutter. Builds APIs, integrates databases and AI capabilities, participates in code reviews, contributes to architecture and technical direction, mentors engineers, and collaborates with cross-functional teams. The role also supports project planning, estimation, quality assurance, and adoption of modern development practices and tools.

Lead architecture and development of Beacon’s backend Datastore platform, including PostgreSQL data models, Kafka event pipelines, GraphQL APIs, clinical-data access controls, and warehouse snapshot pipelines. Design scalable systems, tune queries, operate production databases, debug cross-system issues, write RFCs, mentor engineers, and collaborate with scientific, clinical, product, and engineering stakeholders. The role offers breadth across platform systems or depth in PostgreSQL operations and data modeling.

Architect and develop scalable, resilient, secure cloud-native services for Omnissa’s Horizon Cloud VDI/DaaS platform. Lead complex cross-team features, define subsystem technical vision, establish engineering standards, mentor developers, guide distributed teams, and partner with product management on technical roadmaps. The role uses Java, Python, JavaScript, microservices, Spring Boot, Kubernetes, Azure, and AWS while addressing performance, security, operability, and customer issues.

Build and operate backend safety infrastructure, including automated moderation, abuse detection, AI guardrails, APIs, internal tools, and production services. Integrate machine-learning models, monitor system reliability, respond to emerging threats, and translate product, legal, and policy requirements into scalable technical solutions. Collaborate across engineering, investigations, product, legal, and safety policy teams while shaping the architecture and evolution of ElevenLabs’ safety systems.

The role involves embedding with client teams to build AI features, manage integrations, and ensure project deliveries are met. Candidates must have extensive production software experience and be comfortable working hands-on with clients.

Build and maintain full-stack applications that deliver AI/ML insights through backend services, REST APIs, containerized microservices, and high-performance front-end interfaces. Responsibilities include cloud-native development on Google Cloud or Azure, database management, testing, CI/CD automation, security, troubleshooting, and Agile collaboration.