Top Artificial Intelligence Software Engineer Jobs

Design and build web and mobile trading applications using React/React Native and .NET; extend WebSocket/REST APIs; process streaming market data; collaborate with product and vendors; troubleshoot urgent issues; apply AI coding assistants responsibly.

The Senior Software Engineer will take ownership of full-stack features in a production environment, focusing on scalability, reliability, and communication across teams while using a modern tech stack.

Own product features end-to-end across web app, GraphQL API, and embeddable components. Design schemas and APIs, build backend and frontend, write tests, monitor real-user behavior, and ship weekly. Establish shared component library, design system, and testing patterns. Optimize performance and leverage AI tooling to accelerate engineering and product collaboration.

Lead the Financial Incentives (FIN) engineering function end-to-end (ingestion, eligibility, adjudication, accumulation, payments/treasury). Own correctness, reliability, security, roadmap, hiring and development of managers and senior ICs. Stay hands-on with design, code, and incidents; establish validation standards, event-driven boundaries, AI-native engineering practices, and partner cross-functionally with CTO, Product, Finance, and Operations.

Design, build, test, deploy, and operate cloud-native backend and full-stack applications supporting GRAIL’s commercial healthcare products. Develop Go services on AWS and Kubernetes, maintain React interfaces, design scalable microservices, improve reliability and observability, participate in on-call operations, and contribute to CI/CD and testing practices. Partner with product and clinical teams, lead technical designs, mentor engineers, and build software compliant with regulated healthcare requirements.

Lead technical execution and architecture for the Loyalty product. Own roadmap, design distributed services and APIs, ensure reliability/observability, integrate with ZMP and AthenaOS, build and coach engineering teams, and drive cross-team delivery of scalable multi-tenant loyalty capabilities.

Own end-to-end technical initiatives for iManage’s core cloud platform, including requirements, architecture, implementation, and delivery. Design scalable distributed systems, microservices, and event-driven architectures using modern backend technologies and Azure. Evaluate AI technologies and practical workloads, address reliability and security, collaborate cross-functionally, and mentor engineers while influencing technical direction across teams.

Build integrations directly with AI shopping agent and developer customers, ensuring they work in production. Own API and MCP pricing and packaging, close the first paying accounts, support onboarding, and bring customer learning back into the product. This role combines hands-on integration engineering, technical sales, account support, and commercial ownership. The engineer will also help define the operating charter and playbook for future forward deployed hires.

Build and deploy software integrations and product changes for enterprise customers. Translate customer workflows into engineering tasks, implement and test solutions, debug issues across systems, and communicate technical decisions clearly. The role involves working with product and legal engineers, incorporating customer feedback, and gradually taking ownership of delivery and technical decisions.

Leads approximately 35 engineers across data engineering, integration engineering, and integration support. Owns delivery predictability, manager development, operational reliability, SLA performance, data platform modernization, integration scalability, and organizational clarity. Partners with product, data science, commercial, and delivery teams while overseeing healthcare integrations with EHR systems, enterprise data infrastructure, incident management, and client-facing reliability commitments.