Top Artificial Intelligence Software Engineer Jobs

Design, build, and maintain large-scale, fault-tolerant cloud data protection services for SaaS applications. Develop backup and recovery systems, APIs, administrative UIs, monitoring, automation, and build infrastructure. Troubleshoot scalability, stability, and critical production issues; collaborate with product and customer-facing teams; lead projects, conduct code reviews, and mentor junior engineers.

Build and own the decision engine powering hospital staffing recommendations, alerts, and workflows. Design systems that balance staffing rules, hospital policies, patient needs, and operational constraints. Partner with product, design, engineers, and clinical leaders to create explainable, trustworthy automation. Improve the product through customer feedback, production data, and real-world outcomes while determining where automation should end and human judgment should remain.

Owns the architecture, design, development, integrations, and implementation of complex ServiceNow solutions. Configures platform components, establishes development standards, resolves complex issues, maintains Service Portal pages, and partners with stakeholders to deliver scalable, upgrade-safe solutions. Requires advanced JavaScript, ServiceNow administration and development expertise, API integration experience, and knowledge of ITIL and Customer Service Management processes.

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.

Own technical strategy and architecture for agent infrastructure, tax computation, data pipelines, evaluation systems, and filing workflows. Design and ship highly available, correctness-critical systems; lead infrastructure investments; make build-versus-buy decisions; create technical roadmaps; advise founders and engineering leadership; and raise engineering quality through designs, code, reviews, and technical direction without direct authority.

Own the end-to-end process of transforming partner workflows into evaluation datasets and reinforcement learning environments. Work directly with AI researchers, executives, and organizational leaders to identify capability gaps, manage technical and relationship lifecycles, shape the product roadmap, and build reusable infrastructure that improves partner onboarding. The role requires strong engineering, communication, systems thinking, judgment, ownership, and comfort in an ambiguous, high-intensity environment.

Develop and maintain Android applications using Kotlin and Android SDKs. Collaborate with developers, designers, and product managers to build high-quality features, debug and resolve issues, conduct code reviews, improve codebase health, and participate in agile ceremonies. The role requires 3–5 years of Android development experience, Google Play publication experience, strong software fundamentals, effective communication, and a focus on user experience and quality.

Build and maintain the Microsoft Word add-in that connects GC AI's models to Word, focusing on latency, reliability, real-time document manipulation (tracked changes, comments), editor UX, and shipping enterprise features like clause libraries, playbook reviews, and contextual drafting.

Lead critical infrastructure platform initiatives enabling engineering teams to build, deploy, and operate products consistently. Responsibilities include developing multi-account and multi-region Kubernetes clusters, MLOps capabilities, standardized deployment systems, and company-wide authentication. The role also involves automating engineering workflows, improving developer experience, prioritizing shared platform initiatives with stakeholders, driving platform adoption, and mentoring team members.

Build and ship full-stack government software, including AI-powered product features, Palantir integrations, and reliable platforms serving federal agencies. Responsibilities include technical architecture, end-to-end feature ownership, translating agency requirements, setting engineering standards, mentoring engineers, and operating systems under classified data and compliance constraints.