Top Remote AI Engineer Jobs

Design and build secure, scalable systems as a Full-Stack Software Engineer, leveraging expertise in Next.js, TypeScript, PostgreSQL, and AI tools to enhance cybersecurity within global infrastructure.

The Senior Full-Stack Software Engineer will design, build, and maintain secure, scalable web applications using modern technologies, with a focus on AI-assisted development and application security.

Senior technical leader responsible for architecting and building cloud-native, microservices-based platforms with AI capabilities. Lead design and delivery of scalable search and AI solutions (LLMs, RAG), data pipelines, search optimization (Elastic/OpenSearch/Solr), CI/CD and DevOps adoption, observability, and mentor engineering teams while driving responsible AI practices and stakeholder collaboration.

Lead design and implementation of scalable AI-centric systems for offensive security. Develop agentic AI capabilities for vulnerability identification and automated pentesting, own feature delivery from ideation to production, mentor engineers, run design/code reviews, and collaborate cross-functionally to integrate AI into platform systems.

As a Senior Full-Stack Software Engineer, you will design, build, and ship AI-powered systems to optimize workflows in the single family rental market, focusing on backend services and full-stack development in a fast-paced environment.

The Innovations and AI Solutions Engineer develops and optimizes AI solutions, manages data flows, implements machine learning models, and collaborates with users on data analysis and reporting.

Design and build the distributed systems layer powering a spatial computing platform: real-time coordination, persistent world state, APIs, AI platform infrastructure (vector search, retrieval, agent orchestration), and scalable services to support many concurrent users and third-party developers.

Design, develop, and implement AI/ML models; analyze large datasets; integrate AI solutions into existing systems; apply MavLink for autonomous systems; collaborate across teams and improve ML development processes.

Lead Unity architecture and build persistent, multi-user spatial systems for mobile and wearables. Design spatial persistence, synchronization, AI-assisted content pipelines, and define long-term platform direction as a founding technical contributor.

Design and build scalable data pipelines and backend systems for AI solutions. Lead architecture, code quality, security guardrails, and review AI-accelerated output. Partner with product, data science, and client teams to transform pipeline outputs into actionable insights. Own full feature lifecycle from prototyping with agentic tools to production-grade deployments.

Develop AI compiler solutions, optimize GPU programming, build training pipelines, collaborate on integrating AI policies, and conduct rigorous performance benchmarking.

The Software Engineer will design, build, and maintain features across platforms utilizing C#, ASP.NET Core, SQL, and React or Angular, while engaging with AI tools within a collaborative team environment.

The Quality Engineer, AI-Native designs and maintains automated tests for APIs and UIs, ensuring quality in AI-generated code delivery, collaborating closely with engineers and managing CI/CD processes.

The role involves developing cloud-native applications and AI features for data governance using Azure and Microsoft 365, focusing on security and compliance in regulated environments.

The AI Automation Engineer develops AI-driven systems to automate sales and marketing workflows, partnering with various teams to enhance revenue generation and process efficiency.

Evaluate and design AI-ready data center infrastructure by analyzing AI compute architectures, power and cooling needs, networking impacts, and energy strategies. Develop roadmaps, vendor assessments, and standards for high-density AI deployments across design, construction, operations, and utility coordination.

The AI Research Engineer will build ML models for detecting security threats, maintain AI features, and work closely with security analysts to improve detection.

Design and build reinforcement-learning training environments and diverse tasks to evaluate and improve LLM agents; iterate rapidly on task designs from customer feedback, deliver high-quality outputs with minimal supervision, and maintain PST overlap for collaboration.

Lead and mentor engineering teams while owning platform architecture (React, Node/Express, Postgres, AWS). Drive TypeScript migration, design ETL and AI/LLM integration frameworks, ensure reliability and observability, manage delivery, incidents, and hiring, and define technical strategy for production ML/AI systems.

Develop and maintain MCP tools and the MCP Toolbox for Databases; expand test coverage for agentic coding assistants; refactor and maintain test frameworks; convert technical posts into production-ready sample code and documentation; build real-world data applications (QueryData) to support product R&D and collaborate with cross-functional teams to accelerate agentic AI adoption.

As a Staff AI Software Engineer at PromptQL, you'll lead the development of AI systems, design architecture, and optimize performance while shaping the direction of AI technology in enterprises.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.

The AI Application Engineer will design and deploy AI systems, collaborate with teams, implement Generative AI solutions, and promote continuous learning in AI practices.

The AI Special Projects Engineer will work cross-functionally to build features, automate workflows, and create demos for Lightning Labs, focusing on AI-driven solutions.

Design, develop, and deploy AI-driven healthcare solutions, conduct evaluations, mentor junior engineers, and ensure compliance with healthcare standards.