Top Remote Senior Level Artificial Intelligence Software Engineer Jobs

Develop and document enterprise-grade SaaS platform functionality while improving quality and performance. Responsibilities include full-stack development, functional and unit testing, defect triage, code reviews, API and process documentation, operational support in regulated environments, and collaboration within Agile and DevOps teams. The role requires expertise in C#, ASP.NET Core, T-SQL, Entity Framework Core, web technologies, software design, debugging, distributed architectures, and high-performance APIs.

Design, develop, deploy, and maintain scalable backend services, APIs, and frontend applications. Own projects from architecture through monitoring, collaborate with product and design teams, participate in technical and code reviews, troubleshoot complex issues, and improve engineering practices. The role focuses on secure, reliable systems across cybersecurity, AI, and distributed systems while providing technical guidance to peers.

Develop and govern scalable NetSuite customizations and integrations using SuiteScript, automated testing, and AI-assisted development. Partner with Finance, Supply Chain, Logistics, and business users to translate requirements into durable solutions. Establish coding, testing, documentation, configuration, change-management, and AI-use standards while supporting integrations with Workato, billing platforms, payment processors, 3PL partners, and enterprise APIs.

Designs, develops, tests, documents, deploys, and supports Salesforce solutions, with emphasis on Service Cloud. Integrates Salesforce with other applications, resolves break/fix issues, monitors platform usage and performance, maintains data security, and collaborates with technical teams and business stakeholders. The role also manages multiple projects using Agile methodologies and Salesforce engineering best practices.

Develop and ship full-stack, AI-powered applications using Unframe’s platform. Collaborate with product teams, research teams, internal stakeholders, and enterprise customers to tailor solutions, extend platform and UI/UX capabilities, and integrate AI functionality into production. Write clean, tested, maintainable code and own features from concept through deployment.

Design, build, and operate backend services supporting external penetration testing, including Python APIs, workflow orchestration, ETL pipelines, AWS data lakes, GraphQL and graph APIs, Kubernetes infrastructure, and observability systems. Own service performance, scalability, uptime, deployment, and production operations while collaborating with product, design, and frontend teams. Contribute to architecture, technical documentation, platform stability, and user-facing launches.

Build and maintain scalable backend services with TypeScript and Node.js, integrate third-party APIs, write tested code, and use AI tools for development workflows. The role requires proactive ownership of bugs, performance, architecture, communication, and independent prioritization in a remote environment.

Leads enterprise database operations across IL5 cloud and on-premises environments supporting a federal and DoD mission. Responsibilities include database engineering, schema governance, performance tuning, security compliance, vulnerability remediation, backup and recovery, replication, clustering, and failover. The role integrates databases with SDLC, CI/CD, and DevSecOps workflows, supports cloud modernization, manages access controls and documentation, and leads a team of database administrators.

Designs, builds, and productionizes healthcare knowledge graph solutions using LPG and RDF technologies. Develops FHIR data transformation and ingestion pipelines, ontology mappings, entity linking, provenance tracking, graph queries, and automated validation. Translates semantic specifications into scalable implementations while collaborating with ontology, terminology, clinical, FHIR, and data engineering teams. Participates in technical design, architecture reviews, code reviews, and engineering best practices.

Own and grow either the data engineering or product/web application team. Set technical direction, maintain engineering quality, guide architecture and delivery, mentor and evaluate engineers, hire talent, manage performance, and align engineering outcomes with customer and business goals. The role requires hands-on technical credibility, reliable execution, strong communication, and comfort operating autonomously in an early-stage defense technology company.