Design and architect scalable AI capabilities and robust systems to be integrated into the Jitterbit platform. Collaborate with cross-functional teams to build AI-driven features that run seamlessly 24/7/365.
Remote AI Engineer Jobs (2,147)
Search = AI Engineer
Design and architect scalable AI capabilities and robust systems to be integrated into the Jitterbit platform. Collaborate with cross-functional teams to define and ship new AI-driven features that run seamlessly 24/7/365.
Design and architect scalable AI capabilities and robust systems to be integrated into the Jitterbit platform. Collaborate with cross-functional teams to define and ship new AI-driven features that run seamlessly 24/7/365.
Enterprise Automation & AI Engineer
American Food & Vending ⏐ American Dining Creations
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Full Time
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1 Week Ago
American Food & Vending ⏐ American Dining Creations
Design and implement scalable automation workflows and AI-driven solutions using ServiceNow and Microsoft 365. Partner with stakeholders to translate business needs into technical solutions that reduce manual effort and improve operational efficiency.
AI Engineer | Python | AI Agents | Machine Learning | Full Stack | Remote
E Edge Technology PVT. LTD.
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Full Time
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1 Week Ago
E Edge Technology PVT. LTD.
Design and deploy intelligent AI agents and machine learning models using frameworks like LangChain and TensorFlow. Integrate these AI capabilities into full-stack web applications and manage scalable data pipelines on AWS.
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Lead a cross-functional team to design and deliver scalable, production-ready Generative AI solutions. Establish engineering best practices and provide technical guidance to align AI capabilities with business goals.
Lead the design, implementation, and operationalization of AI-driven workflows and generative AI solutions within the ServiceNow ecosystem. Collaborate with stakeholders to prototype innovative AI capabilities and ensure the scalability and security of enterprise AI adoption.
Design, build, and operate production-grade, cloud-native AI applications across the full stack. Own AI-powered features end-to-end, from initial scoping and design to deployment, monitoring, and optimization.
Lead the technical strategy and engineering execution for securing the enterprise AI ecosystem by building foundational guardrails and decision infrastructure. Design secure reference architectures for AI platforms and establish frameworks for AI vetting and agentic AI identity management.
Design and deploy AI-driven member service workflows and autonomous agentic features within an existing Amazon Connect environment. Build production-ready Python backend integrations and manage AWS resources using Infrastructure as Code to modernize customer interactions.
Design and build production-grade agentic AI systems and LLM-powered features for enterprise clients across various industries. Contribute to internal reference architectures, engineering standards, and reusable tooling to enhance the company's AI capabilities.
Lead the development and scaling of an enterprise-grade Agentic AI platform to operationalize GenAI solutions across the organization. Provide technical direction for development teams while ensuring adherence to security, compliance, and AI governance standards.
Data Science AI Engineer, Advisor
Gainwell Technologies LLC
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Full Time
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1 Week Ago
Gainwell Technologies LLC
Design, develop, and deploy advanced AI and Generative AI solutions to improve healthcare outcomes and operational efficiency. This includes managing end-to-end deployment, data engineering, and ensuring compliance with HIPAA and industry standards.
Design, develop, and deploy advanced AI and Generative AI solutions to improve healthcare outcomes and operational efficiency. This includes building ML models, integrating them into existing technology stacks, and ensuring compliance with healthcare regulatory standards.
Design, develop, and deploy advanced AI and Generative AI solutions to improve healthcare outcomes and operational efficiency. This includes building ML models, integrating them into existing technology stacks, and ensuring compliance with healthcare regulatory standards.
Deploy and operationalize AI-powered workflow solutions and agentic AI integrations within client ServiceNow environments. Contribute to the development of NewRocket's AI platforms and intellectual property through reusable assets and product feedback.
Design and ship AI-powered backend services and APIs that integrate LLMs for real users. Ensure production reliability through instrumentation, monitoring, and critical code reviews.
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Deploy and operationalize AI-powered workflow solutions and agentic AI integrations within client ServiceNow environments. Contribute to the development of NewRocket's AI intellectual property and platforms while providing technical consulting to stakeholders.
Design, build, and operate production AI systems, including agentic workflow infrastructure and LLM-powered features for financial clients. You will also develop internal tools and frameworks to improve developer productivity and AI capabilities.
Lead the technical direction and architecture of AI-native systems, including RAG pipelines and agentic workflows. Act as a player-coach by writing production code while mentoring engineers and defining engineering quality standards.
Build the product layer for a proactive AI assistant, focusing on production-grade agent workflows and reliable multi-step reasoning. Design real-time AI interactions and implement robust fallback mechanisms to ensure system reliability and observability.
Build the product layer for a proactive AI assistant, focusing on reliable agent workflows and multi-step reasoning. Design and deploy end-to-end features across the frontend, backend, and AI integrations to ensure consistent task completion.
Build and operate scalable, production-grade AI systems to automate credit analytics and decisioning workflows across the credit lifecycle. Implement LLMOps practices and develop evaluation frameworks to ensure response accuracy and reduce hallucinations.
Own the inference and orchestration layer to build production systems that power AI interactions. Focus on optimizing latency, throughput, and reliability for AI-powered APIs across mobile and desktop clients.
The role involves building and shipping end-to-end AI features, focusing on turning raw model outputs into reliable product behaviors. Responsibilities include designing agent workflows, optimizing for latency and cost, and debugging the full stack from model to UX.
The role involves building and shipping end-to-end AI features, turning raw model outputs into reliable product behaviors. Responsibilities include designing agent workflows, optimizing for latency and cost, and debugging across the full stack from model to UX.
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Design and operate the inference and orchestration layer for a proactive AI smart assistant. Focus on building stable, low-latency APIs and managing production concerns like monitoring, logging, and incident response.
Build backend services to integrate AI capabilities into payroll workflows. Collaborate with ML engineers and operations to develop real-world AI-powered tools.
Senior AI Engineer - Grafana Ops, AI/ML | Canada | Remote
Grafana Labs
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Full Time
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1 Week Ago
Grafana Labs
Develop and scale high-performance AI features and agentic workflows to help users detect and resolve incidents using observability data. Collaborate with cross-functional teams to prototype, test, and ship AI-powered automation tools for infrastructure quality.
Senior AI Engineer - Grafana Ops, AI/ML | USA | Remote
Grafana Labs
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Full Time
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1 Week Ago
Grafana Labs
Develop and scale high-performance AI features and agentic workflows to help users detect and resolve incidents using observability data. Collaborate with cross-functional teams to integrate AI components with internal tools, alerting systems, and developer workflows.
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