Top Remote Senior Level Artificial Intelligence Software Engineer Jobs

Designs, develops, tests, and implements Guidewire solutions supporting insurance operations. Collaborates with business stakeholders, analysts, and developers to deliver high-quality implementations meeting business requirements. Requires expertise in Guidewire architecture, data models, APIs, integrations, web services, Java, SQL, and XML. Preferred experience includes Guidewire Cloud, reporting, insurance processes, Agile methodologies, certification, and DevOps tools.

Build and operate production software, APIs, tooling, and automation for large-scale GPU, bare-metal, and HPC infrastructure. Responsibilities include provisioning, configuration, monitoring, lifecycle management, observability, hardware integration, reliability improvements, and infrastructure capacity deployment. The role partners with networking, data center, platform, and infrastructure teams to design scalable systems and define technical direction.

Build and maintain full-stack acquisition, signup, onboarding, activation, and early-engagement experiences. Ship and analyze A/B and multivariate experiments, instrument funnels and activation milestones, improve conversion-critical reliability, and develop frontend, backend, API, and analytics integrations. Partner with product, design, data, and marketing to turn growth hypotheses into durable product improvements. Use AI-assisted development tools while validating code quality and production readiness.

Design and implement scalable mapping data-processing pipelines, APIs, and navigation systems for autonomous trucks. Translate ambiguous requirements into technical designs, build high-throughput services, collaborate with consuming engineering teams, incorporate feedback into shipped features, and debug complex software defects. The role requires programming expertise, AWS experience, strong technical communication, independent problem-solving, and familiarity with source control and agile workflows.

Lead the technical vision, architecture, and development of Cadence’s AI-powered Clinical Intelligence platform. Build reliable clinical decision-support and medication recommendation systems using patient data, clinical protocols, safety rules, and clinician oversight. Hire, mentor, and grow AI, backend, and full-stack engineers while establishing engineering standards, testing, observability, validation, and regulatory-readiness practices. Partner with clinical, product, design, and AI stakeholders to deliver safe, scalable production systems.

Design and prototype AI agent systems, agentic workflows, BI and ML pipelines, and enterprise data solutions for strategic customers. Translate governance needs into technical roadmaps, deliver measurable business value, create reusable implementation accelerators, and provide technical guidance to customers and junior engineers. Collaborate with Deployment Strategists, Account Executives, Product, Engineering, and GTM teams to improve Alation’s platform and customer outcomes.

Own and accelerate ELSA’s B2B Dashboard during a three-month contract. Build production-ready full-stack features across Go, Python, and Vue.js; shape product requirements; make UI/UX decisions; improve APIs and user experiences; use AI development tools; and collaborate with product, design, business, and engineering stakeholders to deliver high-impact improvements autonomously.

Develop and optimize high-fidelity Roblox experiences using Luau, Roblox Studio, and advanced platform services. Build gameplay systems, character controllers, AI behavior, UI/UX features, and interactive mechanics while optimizing performance across PC, mobile, and console. Collaborate with creative, product, engineering, QA, clients, and stakeholders from concept through delivery. Use GitHub and Rojo in team workflows, troubleshoot technical issues, and apply scalable data-handling and platform-innovation techniques.

Lead and grow a compiler, kernel, and runtime engineering team responsible for accelerator bring-up across the Modular stack. Drive technical direction, architecture, coding, roadmap delivery, vendor partnerships, SOWs, milestones, cross-team dependencies, hiring, and production-quality model deployment across diverse hardware platforms.

Own the direction and execution of critical AI development products. Build AI-assisted annotation tools, data exploration and visualization interfaces, RLHF workflow products, large-scale data processing systems, and tools for communicating complex instructions. Make autonomous technical and product decisions, lead ambiguous projects, ship rapidly, and collaborate with engineering and research leaders to support AI training and evaluation.