Top Artificial Intelligence Software Engineer Jobs

Work onsite with government customers to configure, customize, and support ConductorAI. Write production Python and TypeScript code, debug and improve reliability, gather user feedback, deliver technical demos, and collaborate with product to ship features. Travel frequently to customer sites and help automate operational workflows while contributing to company strategy and culture.

Develops and maintains software applications and components for military modeling, simulation, and training systems. Responsibilities include coding, debugging, testing, troubleshooting, and creating software designs under senior guidance. The role requires following established requirements and engineering standards, with preferred experience in C#, web applications, JSON/XML, debugging tools, software documentation, and modeling and simulation.

Lead design and delivery of enhancements to a next-generation AI agent platform. Own large features and infrastructure, mentor engineers, set technical standards, drive cross-team initiatives, improve reliability and SLOs, and influence product and process decisions to scale systems supporting millions of interactions.

Build and maintain full-stack features for Suwali, translating broad goals into practical plans and delivering work from exploration through deployment and follow-up. Collaborate with technical and non-technical colleagues, assess user feedback and data, communicate progress clearly, and contribute to product decisions. The role requires production engineering across frontend and backend systems, with potential future responsibility for managing and mentoring engineers.

Lead the architecture and development of a scalable Golang distributed test framework for high-voltage power electronics across laboratory and manufacturing environments. Integrate test systems with MES and databases, support hardware bring-up and debugging, improve testing accuracy and throughput, and establish engineering standards. Mentor software engineers and collaborate with electrical, mechanical, firmware, and manufacturing teams. Travel to worldwide facilities for solution deployment and cross-functional collaboration.

Build and deploy AI-powered solutions for heavy-industry customers. Responsibilities include understanding manufacturing, physics, and chemistry problems; analyzing data; developing models; writing frontend and backend code; building infrastructure and automation; rapidly prototyping; and consolidating successful solutions into robust software. The role requires extensive customer-site collaboration, strong communication, comfort with ambiguity, and travel of 25% to 75%.

Lead d-Matrix’s Bazel migration and build infrastructure. Own the build graph, hermetic toolchains, caching, remote execution, test migration, reproducible builds, and CI/CD improvements across MLIR, Rust, C++, and Python codebases. Establish build-time metrics, improve cache reliability and performance, operate production executor infrastructure, and promote Bazel best practices across engineering teams.

Build and scale full-stack systems for residential construction data orchestration. The role emphasizes Python backend development, AI/ML solutions, third-party integrations, platform reliability, and performance. Responsibilities also include front-end contributions, architectural decision-making, code reviews, mentoring, and improving engineering processes. As an early startup team member, the engineer will collaborate closely with founders and stakeholders to define technical direction and deliver innovative products.

Build and maintain full-stack software using TypeScript, Go, and Python, including backend, frontend, and architectural development. Collaborate with developers, designers, product managers, and Department of Defense stakeholders to develop AI-powered solutions, take products from concept to launch, conduct code reviews, and support customers through travel when needed.

Build and own production-grade APIs, services, and user-facing applications across Python and TypeScript. Architect event-driven systems, deploy serverless workloads, containerize services with Docker on AWS, and establish engineering practices and technical roadmaps. Partner with product and business stakeholders to deliver scalable features, manage projects from concept through deployment, and mentor future engineers. This first engineering hire will have substantial ownership in an early-stage startup and potential to grow into leadership.