Top Artificial Intelligence Software Engineer Jobs

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.

Design and build a scalable, responsive UI; lead frontend architecture and optimization; apply UI/UX best practices; integrate with backend APIs; ensure high web performance and deploy user-facing features.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Own the architecture and technical direction of a heterogeneous AI SoC runtime spanning sensor ingest, preprocessing, inference, postprocessing, and application delivery. Define execution, memory, synchronization, driver, firmware, compiler-runtime, observability, resilience, and validation architectures. Lead cross-functional engineers while contributing hands-on to production systems software, performance optimization, APIs, and low-level interfaces for robotics and edge AI workloads.

Own enterprise customer onboardings from signed agreement through stable production launch. Integrate ERP and CRM systems, clean and reconcile messy financial data, ship production TypeScript integrations, improve AI agent prompts and evaluations, and convert customer learnings into product improvements and scalable onboarding playbooks. The role combines software development, customer-facing technical ownership, and building the company’s forward-deployed engineering function.

Build and deploy full-stack solutions directly with customers, owning work from discovery through implementation. Partner with product and engineering teams, advise customers technically, balance speed with maintainability, explore varied technology stacks, and ship user-facing features in response to feedback. The role involves React and backend development, database and API work, customer collaboration, and independent field execution.