Top Artificial Intelligence Software Engineer Jobs

Senior Product Engineer responsible for designing and building OOTD’s booking and operations platform, scalable media asset infrastructure, fashion personalization data pipeline, mobile and web experiences, and payment infrastructure. The role requires full-stack technical depth, strong product curiosity, collaboration with users and internal teams, and informed use of AI software development tools. The position is based in the NYC office and involves helping launch and scale the platform.

Leads a high-performing software engineering team responsible for customer activation, engagement, and expansion across a travel marketplace. Oversees end-to-end project delivery, promotes AI-driven engineering practices, improves agile processes, and partners with product, data, and design. Drives experimentation, scalability, security, technical excellence, and customer-focused product adoption while developing team talent and aligning engineering priorities with business goals.

Deploy and expand PagerDuty’s SRE Agent within strategic customer production environments. Build reusable agent tools, connectors, and skills; integrate with infrastructure-as-code, GitOps, CI/CD, and observability systems; run customer pilots; resolve adoption blockers; and contribute production code to the core product. Provide architectural guidance, define account roadmaps, evaluate agent capabilities, and help customers progress from AI-assisted incident response to safe autonomous operations.

Build Apollo’s AI-powered Builder Studio end to end, including chat-driven app creation, live previews, generated-app runtimes, workflows, integrations, delegated permissions, security, and reliability. The role requires strong full-stack development, production LLM experience, frontend expertise with complex UIs, backend and workflow design, and ownership of an ambiguous 0-to-1 product.

Develop and maintain scalable control-plane software for DigitalOcean’s network products, including APIs, services, and tools. Responsibilities include implementing, testing, optimizing, and supporting reliable distributed systems; collaborating across networking teams; improving developer and customer experiences; establishing engineering best practices; and contributing to architecture, monitoring, performance, and mission-critical platform reliability.

Build and maintain infrastructure tooling for thousands of servers and distributed services. Responsibilities include host provisioning, configuration management, rapid code deployment, service monitoring, automated testing, linting, and infrastructure supporting high-volume real-time data pipelines. The role involves end-to-end project ownership, frequent code delivery, debugging complex distributed systems, and collaboration within a high-performing engineering team.

Develop and deploy applications on Unqork and AWS for the Producer Management ecosystem. Translate business requirements into scalable technology solutions, build reusable components and integrations, perform testing and debugging, and support applications throughout the software development lifecycle. Collaborate with architects, engineers, business stakeholders, Scrum Masters, and Product Owners while serving as a technical SME and contributing to architectural improvements and AI-enabled development.

Leads customer-centric software development from discovery through production adoption. Partners with customers, product, and design to identify needs, form hypotheses, prototype solutions, and ship AI-native products. Owns architecture, instrumentation, telemetry, and end-to-end outcomes while setting engineering standards, mentoring engineers, and guiding practical technical decisions. Requires cloud production experience, incremental delivery from proof of concept to production, strong communication, and experience leading engineers on complex projects.

Lead backend engineering for a high-performance, data-intensive SaaS platform. Responsibilities include defining technical vision, designing scalable and highly available systems, executing technical projects, participating in architecture decisions, monitoring and optimizing services, improving CI/CD and infrastructure, conducting postmortems, mentoring engineers, documenting practices, and aligning with partner teams.

Leads customer deployments as a hands-on engineering manager, writing production code, building AI agents and integrations, solving complex technical problems, and advising enterprise stakeholders. Builds and coaches the forward-deployed engineering team, develops repeatable deployment processes, and converts customer-specific solutions into reusable platform capabilities. The role requires experience with enterprise deployments, regulated environments, engineering leadership, and production software development.