1,223 AI Engineer jobs in United States available for remote work from home. Apply for positions such as Software Engineer II, AI, IT Operations Automation & AI Ops Engineer, AI Enablement Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Software Engineer II, AI designs and implements technical roadmaps for AI platforms while ensuring robust integration, security, and performance. They collaborate with cross-functional teams to deliver scalable solutions and drive continuous improvement in technical methodologies.
The engineer will design and operate automation and intelligent operations frameworks to power an AI-first IT environment. Responsibilities include building agentic workflows, managing infrastructure as code, and integrating AI-assisted tools into the SDLC.
You will lead and optimize AI solutions by building foundational integrations, agent identity management, and infrastructure. Additionally, you will partner with internal teams to develop AI literacy and create reusable patterns for scalable AI workflows.
Design and implement scalable AI solutions using foundational models, RAG architectures, and intelligent agents. Collaborate with product, architecture, and DevOps teams to integrate AI capabilities into the company's strategic digital platform.
Design, build, and deploy multi-step AI agents and LLM-powered services to automate complex business workflows. Collaborate with vertical leaders to architect solutions and apply predictive data science to drive measurable business outcomes.
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The Senior AI & Automation Engineer will architect and deploy production-grade AI and machine learning systems to improve clinical and operational performance. This role involves leading complex automation initiatives, mentoring junior engineers, and ensuring the scalability and reliability of AI infrastructure within a regulated healthcare environment.
You will design and build scalable AI-enabled applications, including knowledge graphs, ontologies, and agentic pipelines. Additionally, you will architect modern web applications and integrate intelligent features like search, retrieval, and contextual assistance.
You will develop and maintain the Duo Client SDK by extracting logic from the GitLab Language Server into versioned TypeScript packages. You will also design durable public APIs and build isomorphic core packages that support both browser and Node.js environments.
You will identify, design, and deploy AI-driven automation workflows to enhance business efficiency across various domains. You are responsible for end-to-end agent performance, including monitoring KPIs, managing observability, and ensuring reliable integration with enterprise systems.
Lead the design and implementation of a cloud-native AI/ML engineering platform to support GenAI and traditional AI/ML applications. Drive technical vision, strategy, and architectural integration while mentoring engineering teams and partnering with cross-functional stakeholders.
The Forward Deployed Engineer will design, build, and deploy production-grade agentic AI applications while providing technical advisory services to clients. This role involves writing production Python code, optimizing model performance, and ensuring secure AI integration within customer environments.
Design and build AI-powered features such as natural language interfaces and intelligent assistants for a digital banking platform. Collaborate with cross-functional teams to integrate LLMs into production systems while ensuring compliance with financial regulations.
The AI Security Engineer will design and deploy security controls to protect AI systems, models, and pipelines while performing threat modeling and red team testing. They will also serve as the incident SME and collaborate with engineering teams to mitigate risks associated with LLMs and agentic workflows.
You will design and build AI-powered solutions to optimize go-to-market operational workflows and internal team performance. This role involves owning the end-to-end product loop, from discovery and prototyping to shipping reliable, scalable production software.
You will build and operationalize an agent platform and internal tools to integrate AI into the software development lifecycle. Additionally, you will partner with cross-functional teams to design, ship, and iterate on AI-powered product features while establishing engineering standards.
You will drive security implementation, automation, and compliance across the AI/ML development lifecycle while assessing risks like prompt injection and data poisoning. You will also partner cross-functionally to embed security controls and define secure development practices across the SDLC.
The AI Software Engineer will design, develop, and deploy AI-powered applications while managing integrations between AI services and enterprise systems. They are responsible for monitoring production performance, optimizing AI workflows, and ensuring solutions meet security and compliance standards.
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You will own the end-to-end design and delivery of core data platform components, including schema mapping, normalization, and distribution pipelines. Additionally, you will drive the technical architecture for an AI-native data warehouse and establish engineering standards for the team.
The AI Software Engineer will lead the implementation and scaling of AI-assisted software development practices across engineering teams. This role involves creating standards, playbooks, and automated frameworks to ensure high-quality, secure, and compliant software delivery.
You will improve the accuracy of core data extractions from legal documents and design evaluation suites to maintain system reliability. Additionally, you will develop shared agent harnesses and collaborate with product teams to surface AI-driven suggestions to users.
You will embed security by design across AI use cases, agents, and platform components while implementing controls for access, monitoring, and sandboxing. Additionally, you will drive risk remediation, manage AI-specific threats, and strengthen incident readiness through playbooks and cross-team collaboration.
The Principal AI/ML Engineer will lead the design and implementation of a scalable, cloud-native AI/ML platform to support both GenAI and traditional machine learning applications. This role involves driving technical strategy, mentoring engineering teams, and partnering with cross-functional stakeholders to ensure high-quality, secure, and performant data solutions.
You will own the end-to-end design, development, and operation of the real-time voice stack and data infrastructure. This includes building AI-powered workflows, optimizing system performance, and mentoring team members to ensure continuous reliability.
The Senior Software Engineer will design, build, and maintain scalable backend services and conversational AI experiences for Asurion's customer service platform. They will collaborate cross-functionally to deliver reliable, secure, and high-performance solutions while providing technical leadership and mentorship to the team.
You will design and build end-to-end generative AI products, moving rapidly from prototyping to production-ready intelligent systems. You will also partner with cross-functional teams to integrate AI agents into workflows and develop instrumentation to measure performance, quality, and business impact.
You will own the end-to-end development of AI-powered product features, from discovery and prototyping to production launch and iteration. You will collaborate with cross-functional teams to solve complex customer problems and integrate AI agents into core workflows like billing, enrollment, and family communication.
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The Senior Electrical Engineer will lead the design, validation, and optimization of utility-scale Battery Energy Storage System (BESS) projects for data centers and grid applications. This role involves managing battery sizing, inverter performance, and the integration of EMS, Plant Controllers, and SCADA systems.
Lead 0-1 product initiatives from discovery through scale while establishing technical strategy for production AI systems. Partner directly with customers and product leadership to design full-stack architectures and influence engineering priorities.
You will build and deploy production-grade AI services, including agentic workflows, RAG pipelines, and LLM-integrated applications. Additionally, you will design secure API interfaces and implement data-to-insight pipelines to transform unstructured enterprise data into structured models.
The AI Ops Engineer will design, build, and maintain AI-powered workflows and automation to improve Professional Services delivery efficiency. They will also serve as a strategic advisor, coaching personnel and ensuring all AI solutions adhere to governance standards.
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