Top Artificial Intelligence Software Engineer Jobs

Own design and evolution of supplier/item/price/document schemas, plan and run migrations/backfills on live customer data, build scalable queues and background jobs, set API and data patterns, implement customer-facing product features, and mentor other engineers. Work closely with customers and leadership and use AI tools in shipping model-driven features.

Partner with large enterprise insurance customers to expand use cases, build solutions in the product, ship features, integrations and evaluations, and collaborate with engineering to unblock and scale customer deployments. Serve as a customer-facing engineer focused on delivering mission-critical applied-AI solutions.

Design and maintain scalable backend data systems, schemas, migrations, and high-throughput job pipelines. Build customer-facing product features, guide other engineers on data and API patterns, plan migrations/backfills, and ensure reliability and performance as usage grows.

Design and implement scalable backend and frontend systems, build and maintain data pipelines, design SQL/GraphQL database systems, collaborate on product and metrics, improve performance, security, and reliability, and support customer-facing features.

Lead architecture and core runtime foundations for a distributed scanner platform, driving reliability, observability, performance, and engineering rigor while collaborating with hardware and ML teams and mentoring engineers.

Own and build Squad's end-to-end product for recruiters and employers: create product surfaces that make AI matchmaking usable, streamline workflows, expand to new user types, and work directly with the founder and users to define and deliver features.

Lead architecture and delivery of enterprise Salesforce B2B Commerce solutions. Advise on requirements, integrations (ERP/OMS/payments), data modeling, APIs, and system design. Oversee quality, governance, pre-sales solutioning, and distributed teams to drive scalable B2B commerce experiences and platform ROI.

Lead design, build, and operation of AI-powered product features across backend, frontend, and AI systems. Make architecture decisions, drive production deployments, improve code quality and reliability, mentor engineers, and own features end-to-end.

Build and deploy integrations between the Bayesian platform and large EHR systems, implement automated integration and end-to-end tests, support production deployments and go-lives, develop tooling and automation (including LLMs), and collaborate with implementation and clinical teams to deliver clinician-facing workflows.

Design, develop and integrate enterprise-grade software for centralized management of hyperconverged data center products. Collaborate with architects, product management, QA and stakeholders in an Agile/Scrum environment to deliver features, REST APIs and automation for firmware and infrastructure management.