Top Remote AI Engineer Jobs

Direct AI coding agents to build and ship marketing sites, maintain brand voice and design discipline across five brands, own SEO and information architecture, run competitive research, and review/correct AI-generated code and copy to ensure production-quality outcomes.

Develop, test, deploy, and maintain .NET-centric web applications using C#, Angular 17+, and Azure. Build and consume REST APIs, work with SQL Server, source control, CI/CD pipelines, and collaborate on code reviews, debugging, performance optimization, and third-party integrations.

Build and maintain scalable, secure data pipelines and AI-ready datasets using Azure Databricks, Snowflake, Python, and Spark; support RAG solutions, integrate Azure AI services, implement data governance, CI/CD, and production monitoring for enterprise generative AI initiatives.

Integrate LLMs, RAG, and agentic-AI into secure decision-support software. Design prompts and inference workflows, connect AI to backend services, evaluate outputs, build tests, document designs, and collaborate with engineering, security, and DevSecOps teams to deliver reliable mission-capable AI features.

Develop and operate a system for argumentation related to AI safety, utilizing ontologies and knowledge graphs while collaborating with various stakeholders.

The Research Engineer will develop AI platforms focusing on alignment challenges, multi-agent systems, and optimization algorithms while collaborating on technical publications and prototypes.

The Staff ML/AI Platform Engineer will design, prototype and deploy AI/ML models, optimize pipelines, mentor junior engineers, and collaborate closely with other teams to develop machine learning solutions.

The job involves building responsive web dashboards, advanced data visualizations, and analytics tools for unmanned aircraft systems, requiring a deep understanding of UI/UX design and data presentation.

Design and automate compliance systems to enhance efficiency in audit readiness. Collaborate with teams to integrate tools and optimize processes.

Design, build, and maintain automated test suites, evaluation scenarios, and CI/CD quality gates for AI-powered applications. Test APIs, validate ML model outputs, create measurable evaluation rubrics, mentor teams, and contribute to shared QA frameworks and codebases.

The Senior Systems Software Engineer will optimize AI stack readiness for the DGX Station, focusing on application performance, DL framework analysis, system-level optimization, and collaborating with cross-functional teams to enhance multi-GPU capabilities and ensure product effectiveness.

The Developer Relations Manager will engage research labs to promote NVIDIA's AI platforms, assess institutional opportunities, provide technical guidance, and connect with researchers to drive product development and collaboration.

Design, build, and deploy AI systems for manufacturing workflows, including agentic automation, RAG/semantic search with vector DBs, evaluation frameworks, LLM integrations, full‑stack features (React/TypeScript/GraphQL/Postgres), developer tooling, and operational responsibilities including on‑call duties and cross‑functional leadership.

Seeking a Principal AI/ML Researcher and Engineer to lead research and development in Bayesian Learning and Reinforcement Learning. This role involves architecting large-scale AI systems, model development, and driving technical strategy for innovative AI platforms that enhance personalization and decision-making at Airbnb.

The Principal AI/ML Researcher/Engineer will lead research and development of reasoning, planning, and decision-making systems, integrating multi-agent coordination with reinforcement learning to enhance Airbnb's AI capabilities for personalized experiences.

The Principal Software Engineer will lead the design and build-out of an AI Context Layer, ensuring high-quality data for AI systems, while managing access control and developer interfaces, and leading cross-team projects.

Build, ship, and maintain agent skills and agentic workflows for Sales, Marketing, Customer Success, and Partnerships. Partner with GTM teams to identify automatable tasks, integrate agents with APIs and data sources, prototype quickly, and own reliability and iterative improvements when workflows break.

Build and maintain cloud infrastructure and observability for scalable systems. Monitor, troubleshoot, patch, and automate operations using IaC, CI/CD, Kubernetes, and AI-driven automation. Manage backups, disaster recovery, log pipelines, databases, and message streaming. Collaborate with engineering, security, and business teams to improve reliability, incident response, and infrastructure lifecycle (including Terraform state cleanup and decommissioning).

Lead and sustain HPC system operations for NOAA NWS, managing schedulers and system software, troubleshooting multi-node environments, improving performance and throughput, using Linux administration, PBS Pro/Slurm, scripting (Bash/Python/Perl), MPI, and participating in 24/7 on-call rotations with occasional travel for collaboration and training.

Build and ship AI-driven automation across the go-to-market lifecycle: prospecting, lead routing, deal support, retention, and instrumentation. Design agents and workflows, connect GTM systems and data, deploy and monitor production AI, set guardrails and evals, and partner with Sales, Solutions Architecture, Marketing, and RevOps to measure and improve impact.

Design, build, deploy, and operate production LLM-based solutions and agent workflows. Own reference architecture, integrations, IaC, CI/CD, monitoring, governance, and PHI-safe patterns. Lead cross-functional AI initiatives, vendor evaluations, and mentor engineers to scale secure, measurable AI tooling across the enterprise.

Lead development of the application and cognitive layer for humanoid robots: implement behavior trees and intent-to-action orchestration, build voice applications and multi-modal fusion, integrate robotics capabilities and edge/cloud AI services, and ensure production readiness with CI/CD, telemetry, and monitoring.

Own full sales and partnership cycle to bring voice AI to mobile service robots: engage senior robotics decision-makers, qualify and prioritize opportunities, close deals, and shape the commercial playbook while operating autonomously within a small technical team.

Own, build, and operate Allstate's GenAI cloud application development and hosting platforms. Advise product teams on AI strategy, implement solutions on Azure/AWS/GCP (Vertex AI, Bedrock, SageMaker), maintain and enhance Terraform IaC, automate operations, and mentor junior engineers while supporting customer requests and proofs-of-concept.

Designs, builds, and operates GenAI cloud platforms across Azure, AWS, and Google. Develops self-service tools, CI/CD pipelines, and Terraform IaC. Troubleshoots performance and availability, automates deployments, supports developer adoption of LLMs and AI services, and leads postmortems and scalability planning.