Top Remote Senior Level Artificial Intelligence Software Engineer Jobs

Lead and grow a software engineering team through hiring, coaching, performance management, delivery oversight, technical guidance, architectural decision-making, and cross-functional planning. Ensure scalable, reliable, secure engineering practices while aligning execution with product and business goals. Manage project delivery, sprint processes, team culture, budgeting, headcount planning, and executive communication.

Develop geometry-processing and simulation algorithms for engineering applications, build services for 2D/3D CAD, CAE, and CAM data, create rendering modules, curate datasets, optimize machine learning post-training workflows, and contribute to engineering domain-specific languages. The role requires strong Python development, computational design or geometry-processing experience, machine learning expertise, and familiarity with CAD/CAM/CAE tools, LLM post-training, and compilers or DSLs.

Build and own AI-assisted development infrastructure, including autonomous cloud development environments, MCP integrations, agent documentation, internal tooling, and enablement programs. Improve how engineering teams use AI coding agents across the organization, drive cross-team adoption, and stay current with AI productivity trends. The role requires strong software engineering, developer tooling, cloud infrastructure, CI/CD, and application development experience.

Build and maintain production software implementing healthcare interoperability standards, including FHIR and HL7. Develop APIs, services, data pipelines, validation logic, data models, and automated tests while preserving clinical meaning and data quality. Collaborate with engineers, data scientists, healthcare professionals, product managers, and operations staff to deliver scalable healthcare solutions.

Leads and grows an engineering team responsible for customer-facing web, mobile, and backend products. Owns delivery, technical direction, architecture, reliability, hiring, coaching, and career development. Partners with Product and Design to prioritize work and deliver dependable releases. Establishes AI-assisted engineering practices, supports AI-powered customer experiences, and builds systems for scheduling, payments, client management, notifications, and integrations.

Lead large-scale client projects focusing on Azure solutions, mentoring teams, and ensuring successful delivery through technical leadership and design solutions.

Own product features end-to-end, including architecture, integrations, technical specifications, deployment, testing, and production reliability. Use AI agents as the primary development tool, delegate implementation, critically review generated code, and ensure financial transaction reliability. Work independently as an individual contributor while helping evolve the company’s AI-first development process.

Develop and maintain backend services, microservices, REST APIs, and distributed applications supporting cyber training and range missions. Deploy and troubleshoot software in Kubernetes, cloud, virtualized, and infrastructure-as-code environments. Build automated tests, collaborate with DevOps, infrastructure, networking, and cyber teams, and contribute to technical planning, code reviews, and PCTE, RangeOS, and JCWA capabilities. The role may also provide technical leadership and mentoring.

Develop and maintain Ruby on Rails applications and scalable RESTful APIs for a federal healthcare modernization project. Integrate React front-end functionality, troubleshoot application issues, collaborate with engineers and architects, and deliver secure, maintainable software in an Agile environment. The role also involves database queries, automated testing, Git-based version control, and CI/CD practices.

Design, develop, deploy, and maintain scalable Java backend applications and microservices. Translate business requirements into technical designs, build RESTful APIs, integrate services, conduct code reviews, troubleshoot complex issues, and ensure software quality. Collaborate with cross-functional teams, identify project risks, participate in solution analysis, and mentor junior developers while supporting reliable, high-performance solutions.