Architect and deliver advanced AI solutions using generative and agentic AI while driving the adoption of AIOps and cloud-native architectures. Provide technical leadership and mentorship to a small team, managing performance and career development.
Remote AI Engineer Jobs (2,819)
Search = AI Engineer
The Lead AI Engineer will bridge the gap between data science and software engineering to productionize AI and machine learning solutions for Workday products. They will focus on integrating AI models into production systems, optimizing performance, and ensuring scalability and reliability.
Lead the design and development of shared libraries, Spring Boot starters, and agentic frameworks to enable internal teams to build AI agents. Mentor product teams in Python-based AI development and establish standards for agent orchestration, evaluation, and guardrails.
Lead the end-to-end architecture and execution of data platforms and LLM-powered products for Fortune 500 customers. Drive technical standards, mentor senior engineers, and collaborate cross-functionally to deliver scalable AI-driven marketing technologies.
Lead the end-to-end architecture for data platforms and LLM-powered products, overseeing data pipelines and model deployment. Drive technical vision, establish engineering standards, and mentor senior engineers to deliver scalable AI solutions for Fortune 500 customers.
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Design, deploy, and maintain scalable machine learning pipelines and AI models in production environments. Responsible for automating model lifecycles, monitoring performance, and ensuring system reliability and governance.
AI Developer / AI Engineer – Agentic AI, LLM & Predictive Analytics
KATBOTZ LLC
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Full Time
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5 Weeks Ago
KATBOTZ LLC
Design and deploy Agentic AI systems, LLM applications, and predictive ML models to support business operations. Develop AI chatbots, RAG systems, and automation tools while integrating them with enterprise systems and cloud platforms.
Develop the AI layer of SigNoz, focusing on agent orchestration, tool execution, and the MCP server. Build LLM/GenAI observability tools to monitor AI applications using OpenTelemetry.
Staff Cyber Security Engineer – AI Data Protection
GE HEALTHCARE
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Full Time
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5 Weeks Ago
GE HEALTHCARE
Own and operate the AI-focused Data Loss Prevention (DLP) platforms to secure enterprise AI adoption and reduce data leakage risks. Automate security workflows and implement AI guardrails across cloud, endpoint, and network environments.
Lead the technical direction and implementation of the Conversational AI solution (KIRA) to build a modular AI platform for gesund.de. Manage a cross-functional engineering team, overseeing the roadmap, technical architecture, and the quality of German-language AI interactions.
Senior Consultant, Anthropic AI Engineer
Global Career Website
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Full Time
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5 Weeks Ago
Global Career Website
As a Senior Consultant specializing in Anthropic AI, you will translate client requirements into technical specifications and scalable AI solution architectures. You will lead client-facing discovery sessions and design, develop, and write clean code for Claude-powered applications.
Lead the design and delivery of agentic AI systems and predictive models to transform financial decision-making. Architect scalable, production-grade AI infrastructure while establishing MLOps best practices and governance for finance workflows.
Design and develop production-ready AI agents and interaction layers that integrate directly with SAP systems. Focus on automating support, improving diagnostics, and enhancing operational efficiency within enterprise environments.
Design and evolve machine learning systems and automated training pipelines for Hopper's real-time pricing engine. Monitor production systems for latency and drift while partnering with cross-functional teams to translate business needs into technical solutions.
Junior AI Engineer | Program dla Absolwentów
Look4IT Sp. z o. o. (KRAZ: 7880)
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Full Time
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5 Weeks Ago
Look4IT Sp. z o. o. (KRAZ: 7880)
Support the development of AI and Machine Learning solutions, including building prototypes using Generative AI and LLMs. Responsibilities include data analysis, creating AI workflows, and collaborating with engineering and business teams.
Design and scale production-grade AI systems and architectures that align with business objectives. Lead the full AI development lifecycle, from experimentation and model iteration to secure production deployment and mentorship of engineers.
Build and ship AI-powered product features including agentic workflows and spend intelligence while establishing standards for evaluation and monitoring. Collaborate with product and engineering teams to translate business challenges into scalable AI solutions and mentor other engineers.
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Build and ship AI-powered product features including agentic workflows and spend intelligence while establishing standards for evaluation and monitoring. Collaborate with product and engineering teams to translate business challenges into scalable AI solutions and mentor other engineers.
Own the technical vision and implementation of AI capabilities for healthcare software, specifically focusing on RAG pipelines and LLM integrations. Lead the design of scalable, compliant AI solutions while mentoring engineering teams and establishing MLOps standards.
Design and industrialize generative AI solutions, including LLM architectures, RAG, and autonomous agents to transform business processes. Manage the full AI lifecycle from requirement analysis and prototyping to production deployment and performance monitoring.
Staff Cyber Security Engineer – AI Data Protection
GE HealthCare
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Full Time
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5 Weeks Ago
GE HealthCare
Own and operate the AI Data Loss Prevention (DLP) platform to manage AI-related data risks and prevent leakage. Engineer security controls across cloud, network, and endpoint environments while automating workflows using Python and Azure tools.
Design and implement high-performance kernels for AI operations across NVIDIA, AMD, and AWS Trainium hardware. Develop scalable distributed training and inference solutions to optimize the performance of Large Language Model infrastructure.
Design, train, and deploy state-of-the-art generative models and scalable ML pipelines. Collaborate with frontend developers to integrate AI models into production-ready user-facing applications.
Design, train, and deploy state-of-the-art generative models and scalable ML pipelines. Collaborate with frontend developers to integrate AI solutions into production-ready user-facing products.
Staff Enterprise AI Engineer - Agentic Workflows & Productivity
Calix
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Full Time
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5 Weeks Ago
Calix
Lead the architecture and rollout of an enterprise AI platform and agentic workflows across the product organization. This hands-on role involves setting technical standards, mentoring engineers, and building reference implementations for RAG and AI agents.
Field Application Engineer - AI Software & Hardware
Tenstorrent
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Full Time
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6 Weeks Ago
Tenstorrent
Collaborate with sales teams and enterprise customers to drive the adoption of AI products and solutions. Provide technical guidance through meetings and workshops while feeding customer insights back to product teams to shape the roadmap.
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Senior Enterprise AI Engineer (AWS Bedrock)
Oowlish Technology
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Full Time
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6 Weeks Ago
Oowlish Technology
Design and build enterprise-grade AI solutions and automation workflows using AWS Bedrock and modern cloud technologies. Integrate AI agents and RAG pipelines with enterprise systems like ServiceNow and SAP to automate complex business processes.
Design, build, and operate AI and machine learning systems to enable real-time space domain awareness and customer insights. Own the full lifecycle of AI solutions, from data pipelines and model deployment to monitoring and continuous improvement.
Build AI features and agent use cases end-to-end, from the backend engine to the user interface. Prototype AI workflows and transform them into production-ready features and blueprints within the Kestra platform.
Senior Backend Engineer, AI Orchestration
Kestra Technologies
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Full Time
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6 Weeks Ago
Kestra Technologies
Design and build execution primitives for AI workflows within the Kestra engine and maintain plugins for LLM providers. Ensure AI executions are observable, debuggable, and translated into reusable blueprints.
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