Top Artificial Intelligence Software Engineer Jobs

Leads engineering strategy, execution, hiring, and team development for enterprise AI software. Owns technical direction across APIs, application services, data pipelines, cloud and ML infrastructure while remaining hands-on with architecture, coding, debugging, and production operations. Partners with product and leadership on roadmap delivery, guides model training and serving decisions, improves reliability and security practices, and develops engineering managers and technical leaders.

Develop and govern enterprise solutions using Microsoft Power Platform, SharePoint Online, Microsoft Purview, and Copilot. Responsibilities include requirements gathering, architecture, application and workflow development, testing, deployment, documentation, migration support, code reviews, and solution lifecycle management. The developer will create custom apps, automations, integrations, and Copilot extensions; support ALM across environments; collaborate with FDIC leadership and users; and mentor junior developers. Occasional nights and weekend migration work may be required with compensatory scheduling.

Support customers with complex database integration issues while contributing directly to Airbyte’s Java and Kotlin open-source connectors. Troubleshoot replication, CDC, query performance, authentication, networking, schema evolution, and warehouse or lake destinations. Reproduce bugs, inspect logs and query plans, improve connector reliability, review community contributions, and collaborate with Engineering, Product, Solutions, Sales, and Customer Success. The role also includes technical documentation, mentoring support engineers, customer onboarding, and developing AI-assisted troubleshooting processes.

Build experimental applications and interactive tools for configuring experiments, monitoring execution, visualizing results, and capturing metadata. Integrate instrument APIs with SDKs, data services, backend systems, and automation workflows. Implement testing, logging, failure recovery, CI, packaging, and deployment improvements. Diagnose issues across application, performance, concurrency, native-code, and hardware layers while collaborating directly with scientists and engineers to deliver reliable software.

Own backend services, APIs, SDKs, and operational tools for connected hardware and data-intensive workflows. Design reliable data models and asynchronous systems that handle retries, duplicate events, interrupted transfers, and device disconnections. Build telemetry and diagnostics, maintain production reliability and data integrity, test workflows end to end, and support authentication, versioning, documentation, monitoring, and backward compatibility.

As a Senior Software Engineer, you'll lead frontend development using React and WebGL, optimize performance, and mentor teammates in a collaborative design environment.

Designs and implements microservices-based platform services, RESTful APIs, backend systems, infrastructure automation, and cloud integrations. Responsibilities include architecture planning, monitoring and alerting, production troubleshooting, disaster recovery, performance optimization, code reviews, mentoring, and sprint planning. The role requires extensive experience with backend and distributed systems, cloud platforms, Kubernetes, microservices, programming languages, infrastructure as code, networking, security, and scalability.

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.

Oversee and execute healthcare data migrations between legacy and modern Radiology Information Systems. Responsibilities include extracting, mapping, cleansing, transforming, loading, validating, and documenting clinical and administrative data; managing master lists; troubleshooting migration issues; supporting go-live implementations; training staff; and ensuring HIPAA compliance, data security, and accuracy. The role requires SQL, ETL, healthcare data standards, programming, Linux scripting, and Mirth/HL7 expertise.

Lead and co-develop the Maven Voice Agent platform, managing engineers while guiding architecture, product execution, and technical standards. Oversee real-time voice infrastructure, conversational AI, telephony integrations, agent orchestration, customer workflows, reliability, latency, scalability, observability, and production operations. Partner with Product, Design, AI/ML, Customer Success, and enterprise customers to deliver reliable voice experiences and continuously improve engineering processes and platform capabilities.