Top Remote AI Engineer Jobs

The Senior Software Engineer will design and build fullstack features using Go, React, and Ember, ensuring optimal customer experiences and system scalability while mentoring peers and driving projects.

As an Applied AI Engineer, you'll build AI agents and experiences from concept to production, collaborating across teams and optimizing systems for usability and quality.

The role involves managing the ML lifecycle, developing scalable ML systems, and collaborating on AI-first product solutions focusing on Large Quantitative Models.

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.

Design and implement AI-powered educational software, focusing on generative AI systems, mentor peers, and ensure scalable, secure architecture.

Lead design and orchestration of AI-first agent workflows to produce application code, infrastructure, and tests. Architect full-stack systems and MCP servers, validate AI-generated outputs for correctness, security, and performance, build verification pipelines and observability, mentor teams, and evolve AI-First SDLC and governance practices.

Design and maintain backend infrastructure and tooling for an AI evaluations platform. Build production-grade evaluation frameworks for ASR, LLMs, TTS, knowledge bases, and guardrails. Implement API/data integrations, test configuration management, reporting, observability, and debugging tools. Partner with ML, engineering, and QA to operationalize evaluations, enable regression detection and continuous monitoring, and improve developer experience and reliability.

Own end-to-end design, build, deploy, and iterate on production AI systems that improve lead quality, reduce refunds, and automate workflows. Ship customer-facing AI features, agentic workflows, retrieval and context layers, reliable event-driven automations, evaluation datasets and monitoring, and reusable components while connecting technical decisions to business KPIs.

Design, build, and maintain developer tooling for the MAX AI inference stack, including profilers, tracers, debuggers, dashboards, and agent-native tools. Integrate tooling across MAX, Mojo, and driver APIs, collaborate with kernel/model/serving engineers, and drive performance analysis, debugging, and observability to improve developer productivity and production reliability.

Design and implement full-stack applications and AI agents for the GenAI platform, ensuring rapid development and deployment across critical industries. Collaborate with teams to deliver secure and reliable cloud-native systems.

Build infrastructure and AI systems for Hardware Intelligence: agent infrastructure, retrieval and evaluation pipelines, and tooling to reason over large-scale time series, telemetry, and engineering datasets. Prototype and ship AI-powered workflows for anomaly investigation and root cause analysis, work directly with customers, and establish engineering patterns as the platform scales.

Lead technical relationships with major AI labs to define joint roadmaps, design and build platform-to-platform integrations, create POCs and reference architectures, enable strategic customers, and produce field enablement content. Act as hands-on technical owner across product, engineering, partnerships, and GTM to drive joint AI solutions.

Manage model launches and provider onboarding in an AI marketplace, focusing on integration, QA, and internal tooling improvements.

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

Design, build, and deploy production ML models (time series forecasting and NLP). Perform EDA, feature engineering, model evaluation, and translate business problems into ML solutions. Maintain production model-serving pipelines and collaborate across teams to deliver scalable data-driven systems.

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

Architect and build AI-native production systems across a multi-language stack, design offline and online evaluation frameworks for LLMs, monitor live model behavior and drift, lead architecture reviews, mentor senior engineers, and prototype and ship AI capabilities while ensuring reliability and correctness in a regulated domain.

Design, implement, and own a reusable on-device ML inference platform for resource-constrained devices. Integrate inference into RTOS firmware, develop drivers and DMA paths, debug on real hardware, train and optimize models for microcontroller-class hardware, and ship features to production while raising team expertise and using AI-assisted tooling.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

Partner with customers to design and deliver production-ready AI/ML solutions, drive POC-to-production success, troubleshoot technical issues, inform product roadmap with customer feedback, and communicate outcomes to stakeholders.

The Lead Product Engineer will design and deploy enterprise applications, drive Azure migrations, and collaborate with cross-functional teams in an AI-driven environment, mentoring junior engineers and implementing best practices.

The role involves building and integrating full-stack features for an AI chat application, focusing on reliable workflows and real-time AI interactions.

The Staff Software Engineer will design and develop scalable cloud services, focusing on AI infrastructure, with hands-on system architecture, mentoring, and engineering culture shaping responsibilities.