Top Artificial Intelligence Software Engineer Jobs

Design, build, test, and maintain scalable backend services and production-grade applications. Collaborate with product managers and engineers, participate in code reviews, troubleshoot and optimize performance, support system reliability and monitoring, and contribute to architecture and documentation in an agile, mission-driven environment.

Lead technical design and delivery of scalable backend microservices using Java and Spring Boot. Provide architectural guidance, mentor engineers, establish secure AI-assisted development workflows, drive cloud-native deployments on AWS/Azure, and ensure software quality through reviews, testing, and operational readiness. Influence cross-functional delivery and build reusable platform patterns that enable production AI/agent integrations and platform scalability.

Design, develop, and maintain Microsoft Power Platform solutions (PowerApps, Power Automate) and Power BI reports. Implement requirements, ensure data security and access control, optimize databases, troubleshoot performance, provide end-user support, and work in an agile team environment.

The Lead Frontend Engineer will design and develop tablet-first applications for autonomous systems, oversee frontend architecture, optimize performance, and lead cross-team collaboration.

Work on end-to-end customer projects as a Forward Deployed Software Engineer intern: design and implement data-driven solutions, build web apps, wrangle large-scale data, collaborate with cross-functional teams, and travel to client sites. Interns own real-world deliverables and operate with autonomy and mentorship in fast-moving environments.

Lead development and integration of Salesforce-centered GTM systems: build Apex/LWC solutions, design event-driven integrations, optimize data flows to Snowflake, manage CI/CD with Gearset/Git, write SQL for reporting and data quality, troubleshoot production, and mentor developers while advancing AI-enabled, composable CRM automation.

Build full-stack web applications and containerized microservices for defense and intelligence customers. Develop front-end and back-end services using APIs or message buses, employ observability tools, follow Agile and CI/CD practices, and collaborate on distributed teams. Must hold active TS/SCI clearance and work on-site.

Design, implement, and maintain front-end and back-end components for containerized microservices. Work on signal/image-processing software for defense/intelligence customers, participate in Agile CI/CD teams, and collaborate across distributed teams.

Design, build, and maintain full-stack web and backend services for defense/intelligence customers. Develop containerized microservices, frontend applications, and backend APIs/message-bus integrations. Use CI/CD, Agile practices, monitoring and logging tools, and collaborate with distributed teams. Work requires active TS/SCI clearance and US citizenship.

Lead one to two squads building Datadogs Experimentation App. Mentor full-stack and frontend engineers, own delivery from planning to production, set technical direction with statisticians, partner with Product/Design/customers, enforce high engineering standards, and recruit and grow the team.

Lead a polyglot engineering team to define and deliver serverless APM across AWS, Azure, and GCP. Drive auto-instrumentation, OpenTelemetry and Datadog integration, expand managed-service tracing coverage, partner with product, and ensure excellent developer experience and reliable APIs.

Design and implement Datadog's Rust-based streaming client libraries and their interactions with the control plane. Optimize high-throughput, low-level streaming code for performance, reliability, and observability. Support and document developer experience, lead cross-team technical projects, and mentor junior engineers and interns.

As a Solutions Engineer at Dynatrace, you will provide technical support to the sales team, manage projects, execute demos, and improve customer outcomes with observability technologies.

Lead one or more backend engineering teams responsible for core platform services, APIs, data stores, and distributed systems. Drive operating cadence, technical direction, scalability, reliability, and debt reduction. Partner with product and cross-functional stakeholders, participate in architectural decisions, hire and develop engineers, and ensure predictable delivery and high-quality solutions at scale.

Senior individual-contributor full-stack engineer who designs, builds, and ships end-to-end product features. Leads technical direction, modernizes legacy systems, debugs distributed systems, owns production reliability and on-call, and mentors engineers. Drives AI-native development adoption while collaborating with Product and Design and improving team practices, observability, testing, and deployment workflows.

Senior full-stack engineer responsible for designing, building, and shipping customer-impacting features across a Node/TypeScript/React codebase. Use AI tools in development, own production services (deployments, monitoring, on-call), debug distributed systems, improve engineering practices, mentor teammates, and influence technical direction within a product pod.

Design and develop frontend interfaces using React and Next.js, lead projects, and enhance user experiences through collaboration with founding team and users.

As a Backend Engineer, you will design and optimize backend services, APIs, and data processing, collaborating with leadership and users.