Design and maintain the foundational infrastructure and internal provisioning platform for generative AI applications. Ensure AI integrations are secure, performant, and cost-effective while implementing observability and governance systems.
Remote AI Engineer Jobs (2,818)
Search = AI Engineer
Design and maintain the foundational infrastructure and internal provisioning platform for generative AI applications. Ensure AI integrations are secure, performant, and cost-effective while implementing observability and governance systems.
Senior AI Data Engineer
Scorpion Enterprises, LLC
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Full Time
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9 Weeks Ago
Scorpion Enterprises, LLC
Build and evolve a unified analytical data layer to power AI products, tools, and decision-making. Design scalable data pipelines and establish data quality standards and governance practices across the organization.
Senior AI Testing Engineer (Generative AI)
Wadhwani Foundation
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Full Time
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9 Weeks Ago
Wadhwani Foundation
Design and own comprehensive testing strategies and evaluation frameworks for Generative AI products, including LLMs, RAG pipelines, and AI agents. Build automated evaluation pipelines and define measurable quality KPIs to ensure system reliability and safety.
Design and implement LLM-powered multi-agent systems to automate commerce operations and augment decision-making. Develop scalable .NET microservices and React frontends while ensuring safe agent behavior through guardrails and observability.
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Lead the technical strategy and deployment of OpenAI solutions within the AWS ecosystem for high-priority enterprise customers. Develop repeatable architectural patterns and enable AWS partners to independently scale Generative AI adoption.
Principal AI Systems Engineer
Iovance Biotherapeutics
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Full Time
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9 Weeks Ago
Iovance Biotherapeutics
Design, build, and deploy production-grade AI systems and RAG pipelines to improve operational productivity within a regulated life sciences environment. This includes owning the end-to-end architecture, implementing security guardrails, and developing AI agents with human oversight.
AI Data Engineer (m/w/d)
Woodmark Consulting GmbH
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Full Time
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9 Weeks Ago
Woodmark Consulting GmbH
Develop AI/ML models and scalable data pipelines while designing production-ready AI architectures integrated into cloud environments. Take technical responsibility for projects, managing architecture design and coordinating with stakeholders to ensure technical excellence.
Engineer, Applied AI
National Debt Relief, LLC.
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Full Time
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9 Weeks Ago
National Debt Relief, LLC.
Design, prototype, and deploy enterprise-grade Generative AI solutions, including AI-powered chatbots and RAG pipelines. Collaborate with cross-functional teams to optimize internal operations and enhance client experiences through intelligent automation.
The role focuses on applying AI to automate finance operations, including AP, AR, and financial reporting, to reduce costs and manual work. It involves partnering with finance teams to build audit-ready, SOX-compliant automation systems.
Security / AI Cloud Engineer
New Charter Technologies
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Full Time
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10 Weeks Ago
New Charter Technologies
Design and manage security controls for AI platforms and cloud environments to ensure safe AI adoption for clients. This includes configuring DLP policies, monitoring for abuse, and remediating security misconfigurations.
Design and manage security controls for AI platforms and cloud environments to ensure safe adoption of AI tools for clients. This includes configuring DLP policies, monitoring for abuse, and remediating security misconfigurations.
Lead the development of production-grade generative AI applications and copilots to optimize Samsara's go-to-market engine. Collaborate with cross-functional teams to build AI tools that improve sales efficiency and customer personalization.
Design and implement production-grade agentic workflows, RAG pipelines, and AI-powered product experiences from the ground up. Drive the technical architecture for the AI product line, including LLM orchestration, observability, and the establishment of engineering standards.
Build and scale AI-powered GTM workflows and agents to automate prospecting, lead enrichment, and CRM data quality. Connect various GTM systems to transition marketing operations from manual execution to scalable AI-assisted processes.
The role involves embedding across various business teams to replace manual work with durable AI-powered tooling and automations. Additionally, the engineer will coach non-technical colleagues to build their own automations and develop reusable platform components.
Design and deliver scalable backend and cloud systems to power AI-driven products using modern LLM APIs. Develop agentic AI workflows and maintain production-grade infrastructure on AWS using Terraform.
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Design and deliver scalable backend and cloud systems to power AI-driven products using modern LLM APIs. Develop agentic AI workflows and maintain production-grade infrastructure on AWS using Terraform.
Design and scale machine learning solutions to enhance personalization and member experiences at Netflix. Collaborate with cross-functional teams to move algorithms from concept to production in large-scale real-time systems.
Build and ship agentic AI workflows on the Titan platform to solve specific banking use cases such as lending and compliance. Partner directly with clients to gather requirements, prototype solutions, and integrate feedback into the platform.
Lead the technical design and delivery of complex AI engagements for banking clients, building bespoke integrations and agentic systems. Act as the primary technical authority for client CTOs and CISOs while mentoring mid-level engineers and influencing the platform roadmap.
Design and build AI-powered internal tools and agents to automate workflows across various company departments. Architect integrations between LLMs, internal databases, and third-party platforms to improve operational efficiency.
Design and implement the core components of an AI-native data platform, including schema mapping, normalization, and distribution pipelines. Establish technical standards and build evaluation infrastructure to ensure the reliability of AI-generated financial data.
Develop and enhance product features for the Workouts team, focusing on physical activity experiences and content management systems. The role involves full-stack development and the integration of AI-assisted coding tools to ensure scalable and reliable application delivery.
(Senior) AI Software Engineer (m/w/d)
Logistikbude GmbH
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Full Time
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10 Weeks Ago
Logistikbude GmbH
Design and implement AI-powered features such as LLM integrations and RAG applications within a SaaS logistics platform. Collaborate across departments to identify AI value drivers and optimize internal development workflows using AI tools.
Architect and develop reusable AI components and skills for a multimodal AI platform. This includes optimizing prompts, designing RAG integrations, and building scalable agentic pipelines.
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Define the end-to-end architecture for scalable AI/ML and Generative AI solutions while serving as a strategic consultant for clients. Lead the integration of LLMs and RAG systems into enterprise applications and mentor technical teams on MLOps frameworks.
Lead the AI performance agenda by monitoring, testing, and improving AI efficiency across the entire platform portfolio. Collaborate with leadership to balance speed, accuracy, and cost while coaching engineers to raise the company's AI knowledge.
The role involves architecting and securing AI infrastructure, including designing secure LLM pipelines and evaluating MCP server integrations. The engineer will lead AI threat modeling, red teaming, and establish security guardrails for AI-powered tools across the firm.
Design and build scalable, secure full-stack systems using Next.js and Supabase while integrating AI-assisted development tools into the workflow. You will own features end-to-end, focusing on database-centric logic and embedding security best practices into every layer of the platform.
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