Top Artificial Intelligence Software Engineer Jobs

Build and maintain the core gameplay recorder, including capture, encoding, hooks, and game integrations such as auto-clipping. Design scalable architecture, establish guardrails and best practices, improve maintainability, and enable safe contributions across teams. Collaborate closely with engineers, share knowledge, pair with teammates, and optimize performance-driven features. The role is hands-on and requires working onsite in New York City five days per week.

Own LoopMe’s Unity SDK product surface, including architecture, cross-platform native integrations, open-source publishing, CI/CD, reusable tooling, validation apps, licensing, testing, documentation, and partner support. Collaborate with iOS, Android, and quality engineering teams to maintain platform parity. The role requires deep Unity SDK architecture expertise, C#, Kotlin, Swift, Objective-C++, mobile development, package distribution, and ad-tech privacy frameworks.

Design and develop software systems based on business requirements, troubleshoot and resolve reported issues, and conduct peer code reviews. The role requires strong .NET, C#, ASP.NET MVC, Web API, Angular, dependency injection, testing, database, and software design experience. Candidates should understand SOLID principles, design patterns, Entity Framework, SQL Server, source control, and continuous integration. WCF, SOA, SSRS, and Kendo UI experience are advantageous. The position requires six or more years of .NET development experience and local, face-to-face availability in KOP, Pennsylvania.

Lead the engineering team building Avathon’s Planning product. Own architecture, data pipelines, planning services, solver and ML model integration, platform integrations, scalability, reliability, and production operations. Develop software for demand, supply, capacity, inventory, and scheduling plans using ERP, MES, PLM, and logistics data. Lead hiring, mentoring, design reviews, roadmap collaboration, customer go-lives, and escalations while writing code and managing technical delivery.

Build and maintain Fernstone’s insurance product as the second engineering hire. Own complete features across frontend, backend, data models, and infrastructure; collaborate with operations to identify opportunities; create reliable workflows; and develop AI systems that automate multi-step insurance work while handling errors and human escalation.

Build and maintain backend services powering Pump’s cloud cost optimization platform. Design and scope product features, improve internal tools and CI/CD workflows, participate in code reviews, and ensure reliability, performance, and maintainability. Collaborate with engineers, designers, founders, and other teams to solve customer problems. This is a fully in-office role requiring five days per week on site.

Lead architecture, development, and operation of globally scaled payments and billing systems. Own subscription billing, payment providers, invoicing, reconciliation, security, compliance, reliability, and modernization. Use and advance AI-agent workflows for engineering, incident response, testing, and anomaly detection while enforcing strict human review and PCI safeguards. Mentor engineers, guide technical strategy, and collaborate with Product, Finance, Risk, Platform, and Analytics.

Build the low-level control layer that translates AI intent into reliable computer actions across macOS, Windows, and Linux. Develop mouse and keyboard injection, screen capture, UI element detection, accessibility integrations, cross-platform abstractions, and error recovery. Address targeting, focus, scaling, occlusion, and timing issues while collaborating with model and planning teams on intent execution interfaces.

Design, develop, debug, and optimize LustreFS across client, metadata, object storage, networking, and backend layers. Investigate customer and scale-related defects, perform root-cause analysis, improve reliability and performance, review code and designs, collaborate with QE and support, create diagnostics and documentation, and use AI-assisted tools to accelerate triage and engineering workflows.

Build end-to-end full stack features for an AI-native fleet operations platform. Develop Python backend services, React and Next.js interfaces, AI-powered workflows, agentic pipelines, database schemas, telemetry systems, and LLM evaluation tooling. Collaborate on architecture, observability, testing, and engineering practices in an autonomous startup environment.