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.
Remote AI Engineer Jobs (2,146)
Search = AI Engineer
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.
Junior AI Automation Engineer - Indonesia
Asiacruit BPO, Inc.
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Full Time
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2 Days Ago
Asiacruit BPO, Inc.
Build and deploy a comprehensive business automation system from scratch using n8n, Airtable, and various APIs. The role involves creating workflows for customer communication, lead management, finance, and internal operations across five operational domains.
AI Process Engineer - HR and Recruiting Workflows 12 APPLICANTS
Onward Search
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Contract
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3 Days Ago
Onward Search
Design, build, and deploy AI-powered micro-applications and workflow automations to improve operational efficiency across various company departments. Collaborate with stakeholders to translate business pain points into production-ready tools using AI-assisted development workflows.
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Principal AI Systems Engineer
Iovance Biotherapeutics
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Full Time
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3 Days 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.
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.
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.
Principal Engineer, Applied AI
National Debt Relief, LLC.
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Full Time
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4 Days Ago
National Debt Relief, LLC.
Design, prototype, and deploy enterprise-grade Generative AI solutions, including AI-powered chatbots and RAG pipelines. Lead technical execution and architectural alignment across multiple teams to optimize internal operations and client experiences.
Senior Engineer, Applied AI
National Debt Relief, LLC.
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Full Time
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4 Days 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 implement AI agents for digital and voice channels to optimize client experiences and internal operations.
AI Infrastructure Engineer
Bright Vision Technologies
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Full Time
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4 Days Ago
Bright Vision Technologies
Design, build, and operate the platform layer for large-scale AI training and inference workloads. Focus on GPU clusters, resource scheduling, high-performance storage, and developer tooling for ML engineers.
Lead the design and implementation of security controls, threat models, and incident response capabilities for AI and machine learning systems. Focus on mitigating risks such as prompt injection, model abuse, and data exfiltration in LLM-powered applications.
AI Research Engineer (Applied AI)
Bright Vision Technologies
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Full Time
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4 Days Ago
Bright Vision Technologies
Design and deploy advanced machine learning systems that solve high-impact business problems across various data domains. Bridge the gap between applied research and production engineering by building scalable, robust inference and training pipelines.
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.
Design, build, and operate high-scale production AI systems and agentic experiences like Cart Assistant and voice AI. Own the end-to-end lifecycle of AI features from technical design and implementation to deployment and observability.
Lead the security architecture and threat modeling for AI, GenAI, and agentic systems within a regulated healthcare environment. Design and implement guardrails for PHI handling, MLOps controls, and defensive detection strategies to mitigate AI-specific risks.
Own the engineering layer and configuration of the AI-powered application platform to ensure scalability and security. Serve as a technical advisor to non-technical stakeholders while establishing standards for AI-generated code deployment.
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Lead the deployment and operational support of AI platforms and infrastructure, ensuring seamless integration with enterprise processes. Build and maintain MLOps pipelines and automate infrastructure to support AI-enabled applications from development to production.
Senior Machine Learning Engineer - Generative AI & Full-Stack Applications
CVS Health
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Full Time
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5 Days Ago
CVS Health
Develop and scale GenAI and AI-powered capabilities, including RAG pipelines and prompt patterns, to integrate enterprise data with LLMs. Ensure system reliability through observability, security guardrails, and collaboration with cross-functional teams.
Security / AI Cloud Engineer
New Charter Technologies
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Full Time
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5 Days 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.
Act as the technical lead for enterprise AWS projects, designing high-availability architectures and orchestrating AI agents. You will collaborate with clients on cloud strategies and use AI-powered tools to generate and iterate on infrastructure code.
The role involves designing, implementing, and operating AI agent capabilities and platform systems within an agile team. Key tasks include writing code, maintaining repositories, and collaborating to identify technical solutions for business needs.
Build and maintain MCP servers and APIs to connect internal systems and data to AI platforms. Design and implement backend AI architecture on Google Cloud to support agentic solutions for business users.
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.
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Design and configure custom AI Agents and automated workflows to optimize the P&C insurance claims process. Act as a strategic technical liaison between clients and engineering teams to translate business needs into AI-driven product features.
Lead the design and implementation of security controls, threat models, and incident response capabilities for AI and machine learning systems. Focus on mitigating risks such as prompt injection, model abuse, and data exfiltration in LLM-powered applications.
AI Research Engineer (Applied AI)
Bright Vision Technologies
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Full Time
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6 Days Ago
Bright Vision Technologies
Design and deploy advanced machine learning systems that solve high-impact business problems across natural language, vision, and recommendation domains. Bridge the gap between applied research and production engineering by building scalable training and inference pipelines.
Design, build, and deploy scalable Generative AI platforms utilizing AI Agents, RAG pipelines, and Knowledge Graph architectures. Manage end-to-end platform development and deployment within a DevOps environment using IaC and CI/CD pipelines.
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