Own the scale and reliability layer of GTM AI agents, transitioning them from prototypes to production-grade systems. This includes managing observability, deployment pipelines on GCP, and database administration for the agent fleet.
Remote AI Engineer Jobs (2,817)
Search = AI Engineer
Design and operationalize AI-enabled automations and agent-driven workflows within Revenue Systems using tools like n8n. Maintain CRM process logic and implement integrations between HubSpot and other internal or external tools.
Drive the technical vision for AI features and lead the end-to-end delivery of agentic capabilities from design to production. Coach and mentor a growing team of AI engineers while remaining 80% hands-on with the code.
Lead the end-to-end delivery of AI-powered workflows from concept to production using Azure AI and Microsoft Fabric. Partner with business stakeholders to integrate AI solutions into enterprise platforms like SAP and Salesforce to drive operational efficiency.
Own the platform-wide data and AI infrastructure, including data modeling, storage, and governance. Design and build the shared data layer that powers analytics, search, recommendations, and agentic AI products.
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Design and maintain an enterprise AI platform focusing on LLM routing, agentic workflows, and RAG components. Build scalable deployment pipelines using Kubernetes and ArgoCD to empower developers to deploy AI-driven solutions.
Drive the modernization of the core platform by designing and implementing scalable AI and agentic workflows using LLMs. The role involves managing technical debt, owning architectural decisions, and collaborating with leadership to translate business requirements into technical solutions.
Drive the modernization of the core platform by designing scalable AI and agentic workflows using LLMs. The role involves remediating technical debt and partnering with leadership to translate business requirements into technical solutions.
Drive the modernization of the core platform by tackling technical debt and owning architectural decisions for cloud-based systems. Design and implement scalable AI and agentic workflows using LLMs while ensuring high code quality and security.
Research and implement state-of-the-art Gen AI and ML solutions to solve complex National Security problems for customers. Translate real-world challenges into reusable solution recipes and platform capabilities to evolve Snorkel's AI tooling.
Build AI-native systems and agents to automate financial workflows and improve product intelligence for a Neobank app. Design and implement reliable, scalable AI tools focusing on accuracy, latency, and security in a production environment.
Build the core intelligence layer by training and fine-tuning open-source models using proprietary clinical data. Develop rigorous evaluation pipelines and scalable inference infrastructure to power LLM-driven workflows for clinicians.
Architect and implement Agentic RAG solutions and optimize AI pipelines for data ingestion and retrieval. Develop reusable AI components for agent orchestration and collaborate with multidisciplinary teams to align AI solutions with business goals.
Full Stack Engineer, AI Systems, Artificial Intelligence (AI) Required, Work From Home
Ginas Tech Jobs
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Full Time
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4 Weeks Ago
Ginas Tech Jobs
Build end-to-end product features and design agent workflows that handle planning, tool use, and recovery. Integrate LLMs and external tools to create reliable, production-grade AI systems with low latency.
Design, build, and productionize AI-powered solutions and agentic workflows to create measurable business value. Collaborate with cross-functional teams to move AI initiatives from proof-of-concept to scalable, secure enterprise production systems.
Design, build, and productionize AI-powered solutions and agentic workflows to create measurable business value. Collaborate with cross-functional teams to move AI initiatives from proof-of-concept to scalable, secure enterprise production systems.
Sr Fullstack AI Engineer (LLM, RAG & Knowledge Graphs)
knowmad mood
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Full Time
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4 Weeks Ago
knowmad mood
Design and develop Generative AI applications using LLMs, Agentic AI, and GraphRAG to transform business and scientific data into actionable insights. Build scalable backend services, APIs, and data pipelines within an Agile environment.
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🤖 Senior AI Engineer | Google Cloud & Gemini Enterprise (100% Remoto)
knowmad mood
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Full Time
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4 Weeks Ago
knowmad mood
Design and implement advanced Generative AI solutions, including corporate assistants and custom agents, within the Google ecosystem. Integrate Gemini with corporate applications via APIs and design architectures on Google Cloud Platform to automate internal processes.
Design, build, and maintain scalable Python backend services and microservices for an AI-powered agent platform. Own features end-to-end from technical design through implementation, deployment, and maintenance.
Lead the technical strategy and architecture for customer-facing AI agents and complex multi-agent 'Super Agents'. Design robust frameworks for workflow automation and provide technical mentorship to senior engineers on AI/ML best practices.
Design and develop production-grade AI applications and scalable services using Python and Generative AI. Build RAG pipelines, integrate LLMs into enterprise systems, and collaborate with cross-functional engineering teams.
Own the end-to-end delivery of production AI systems, including design, implementation, and deployment. Collaborate with senior engineers on complex builds and manage direct communications and demos with clients.
Agentic AI Engineer / Software Engineer - AI Applications (Remote US)
Legion Intelligence
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Full Time
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4 Weeks Ago
Legion Intelligence
Build and iterate on production-ready agentic AI applications and workflows to solve real customer use cases. Partner with platform engineers to develop reusable components and ensure high quality in UX, reliability, and performance.
Own the end-to-end delivery of production AI systems, including design, implementation, and deployment. Collaborate with senior engineers on complex builds and manage direct communications with clients.
Senior Customer Solution Engineer — AI Native/Consumption Quote to Cash
Zuora
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Full Time
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4 Weeks Ago
Zuora
Own the technical win for complex enterprise quote-to-cash opportunities by designing and building tailored solutions and proofs of concept. Partner with Account Executives to translate customer requirements into defensible architectures while ensuring post-sale technical health and adoption.
Staff AI Engineer - Grafana AI/ML | USA | Remote
Grafana Labs
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Full Time
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4 Weeks 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 into internal tools, alerting systems, and developer workflows.
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Staff AI Engineer - Grafana AI/ML | Canada | Remote
Grafana Labs
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Full Time
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4 Weeks Ago
Grafana Labs
Develop and scale high-performance AI features and agentic workflows to help users detect and resolve incidents using observability data. Collaborate cross-functionally to integrate AI components with internal tools, alerting systems, and developer workflows.
Provide onsite technical engagement and support for large-scale NVIDIA AI datacenter deployments. Act as a technical specialist for GPU and networking products to support sales account managers and establish relationships with customer architects.
Sr Software Engineer, AI Agent Platform
Motorola Solutions
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Full Time
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4 Weeks Ago
Motorola Solutions
Lead the technical direction and architecture of real-time voice AI systems to support emergency response services. Mentor engineers and drive engineering excellence across reliability, security, and performance for mission-critical AI pipelines.
Design, train, and evaluate multimodal foundation models to enable autonomous multi-robot mission execution. Develop memory, planning, and coordination capabilities while building simulation environments for synthetic data generation and RL.
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