Top Artificial Intelligence Software Engineer Jobs

Develop and maintain enterprise data-driven web applications using Python, ASP.NET, C#, React, databases, ETL pipelines, and cloud technologies. Perform full-stack development, application architecture, production troubleshooting, data updates, code reviews, testing, deployment, and operational support. Participate in Agile/Scrum processes, support CI/CD and cloud infrastructure, conduct root cause analysis, and mentor junior developers.

Lead backend software engineering for a product delivery team while remaining hands-on. Design and maintain Java Spring Boot microservices, guide architecture and technical decisions, review code, mentor engineers, clarify requirements, and support Agile execution. Improve CI/CD, DevOps, deployment, observability, debugging, and system reliability using tools such as Splunk or Sumo Logic.

Develop and maintain full-stack web applications, scalable APIs, backend services, and responsive interfaces. Collaborate with product, architecture, QA, and engineering teams; integrate AI-enabled features; contribute to modernization, CI/CD, automated testing, and DevOps practices. Troubleshoot production issues, perform root-cause analysis, optimize performance, and support application reliability while adopting emerging technologies and enterprise-approved AI tools.

Develop, configure, and maintain the ServiceNow platform (ITSM, HRSD). Build flows, business rules, client scripts, ATF tests, and integrations (REST/SOAP). Troubleshoot platform issues, document solutions, collaborate with cross-functional teams, and participate in Agile ceremonies.

Build and evolve Yext’s Knowledge Graph product, including scalable infrastructure, APIs, storage systems, libraries, frameworks, and data workflows. Participate in the full software development lifecycle, write tested and documented code, improve engineering practices, and collaborate across teams. Engineers will work with complex data modeling, distributed systems, and AI-assisted development tools while validating output for correctness, security, privacy, and maintainability.

Build and own distributed runtime infrastructure for Moveworks AI agents, including orchestration engines, long-running session management, event-driven messaging, asynchronous concurrency, observability, caching, and state layers. Design production backend systems that coordinate multi-step workflows, tool calls, human interaction, crash recovery, real-time streaming, and low-latency execution at enterprise scale.

Architects, builds, and develops a globally scalable Splunk environment supporting high-performance computing operations. Responsibilities include Splunk administration, application development, SPL queries, dashboards, reports, ETL optimization, database tuning, Linux administration, scripting, performance design, requirements gathering, and training operational support teams. The role requires collaboration with global teams and customers and includes 10% domestic travel.

Leads the Payments Platform engineering organization, owning strategy, architecture, roadmap, delivery, and operational health for global payment processing, routing, settlement, reconciliation, and partner integrations. Manages Engineering Managers and senior technical talent, guides scalable and reliable distributed-system architecture, and partners with Product, Commercial, Risk, Compliance, and regional engineering leaders to support growth and regulatory requirements.

Develop, integrate, test, verify, and release C++ software for embedded, real-time avionics display systems. Define requirements, support certification and compliance, coordinate technical activities, resolve issues, improve engineering processes, and mentor early-career engineers. Collaborate with systems, quality, certification, program management, customers, and other engineering teams to deliver compliant aerospace software.

Build and maintain scalable full-stack web applications for Snap’s user-facing products. Develop interfaces and services, optimize performance, contribute to shared libraries, analyze operational and engagement metrics, and use AI-assisted workflows while maintaining code quality, security, scalability, and production readiness.

Develop and maintain satellite command-and-control, mission-planning, mission-data processing, and data-analysis software using Elixir. Collaborate on architecture, design, and code reviews while working across engineering disciplines. The role requires functional programming, resilient and fault-tolerant distributed systems, front-end development, live-system debugging, and strong communication. Preferred experience includes Elixir OTP, React, TypeScript, OAuth2, network protocols, databases, and distributed-system monitoring.

Leads an engineering team building Datadog’s Reference Tables platform, including its UI, MCP, APIs, control plane, metadata, permissions, validation, quotas, and lifecycle services. Defines technical direction and roadmap with product and engineering leaders, drives reliable large-scale distributed systems, establishes engineering practices, mentors engineers, and supports mission-critical infrastructure with 24x7 on-call operations.