Own the end-to-end build of AI products for clients, from initial concept and requirement gathering to production deployment. Act as the primary technical contact for clients while managing reliability, security, and cost optimization.
Remote Artificial Intelligence Jobs (9,419)
Search = ai
Job category = Software Development
Lead the design and implementation of a production-grade agentic layer to enable AI agents to offer and fulfill refund solutions. This includes building RAG pipelines, MCP servers, and ensuring compliant AI outputs through guardrails and evaluation frameworks.
Own and drive the quality, reliability, and evolution of production AI systems, including the delivery of major AI features. Design and orchestrate agentic, tool-using AI workflows and manage prompt engineering and experimentation pipelines.
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 developing evaluation frameworks.
The role involves building and shipping end-to-end AI features, from designing prompts and agent workflows to ensuring production reliability. You will be responsible for turning raw model outputs into structured behaviors and optimizing for latency and cost.
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The role involves building and shipping end-to-end AI features, from designing prompts and agent workflows to ensuring production reliability. You will be responsible for turning raw model outputs into structured behaviors and optimizing for latency and cost.
The role involves building and shipping end-to-end AI features by turning model capabilities 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. You will design prompts, tools, and agent workflows while optimizing for latency, cost, and production reliability.
The role involves building and shipping end-to-end AI features, transforming raw model outputs into reliable product behaviors. You will design agent workflows, optimize for latency and cost, and develop evaluation frameworks to measure real-world performance.
Own the inference and orchestration layer to build production systems that power AI interactions. Focus on designing stable APIs, optimizing latency, and managing production concerns like monitoring and incident response.
Design and operate the inference and orchestration layer to power AI interactions across mobile and desktop clients. Focus on optimizing latency, throughput, and reliability for production AI-powered features.
Own the inference and orchestration layer to build production systems that turn AI model capabilities into stable APIs. Focus on optimizing latency, throughput, and reliability for AI-powered features across mobile and desktop clients.
Own the inference and orchestration layer to build production systems that turn AI model capabilities into stable APIs. Focus on optimizing latency, throughput, and reliability for AI-powered features across mobile and desktop clients.
Build the product layer for AI-native workflows, focusing on agent design, tool integration, and system reliability. Develop end-to-end features across the frontend and backend to create proactive, goal-driven AI assistants.
Design and operate the inference and orchestration layer that powers AI interactions, focusing on latency, reliability, and cost. Build production systems to turn model capabilities into stable APIs for mobile and desktop clients.
Build and deploy production-grade AI-native product features and agent workflows that handle multi-step reasoning and tool use. Focus on improving system reliability, reducing latency, and creating proactive, goal-driven user experiences.
Build the product layer for AI-native workflows, focusing on agent design, failure recovery, and real-time interactions. Collaborate with ML and backend teams to ship end-to-end features that move beyond simple chat into goal-driven workflows.
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Build the product layer for AI-native workflows, focusing on agent design, tool integration, and system reliability. Develop end-to-end features across the frontend and backend to create proactive, goal-driven AI assistants.
Build and deploy production-grade AI-native product features and agent workflows that handle multi-step reasoning and tool use. Focus on improving system reliability, reducing latency, and creating proactive AI interactions for everyday users.
Build the product layer for AI-native workflows, focusing on agent design, tool integration, and system reliability. Develop end-to-end features across the frontend and backend to create proactive, goal-driven AI assistants.
AI Product Specialist (3-6 month contract opportunity)
Managed Health Care Associates
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Full Time
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1 Week Ago
Managed Health Care Associates
Own the product vision and roadmap for the Net-Rx suite of solutions, managing the full lifecycle from intake to post-launch performance. Serve as the primary liaison between business and technical teams to translate customer needs into scalable software requirements.
Design and implement a scalable agentic framework and centralized AI platform to support organization-wide AI initiatives. Collaborate with cross-functional teams to integrate AI agents into internal tools and customer-facing applications while ensuring security and scalability.
Principal Product Manager - AI & Intelligent Manufacturing Systems
Fictiv
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Full Time
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1 Week Ago
Fictiv
Drive the vision, roadmap, and execution of AI-powered capabilities for the Manufacturing Quoting and Fulfillment Platform. Lead the development of the AI intelligence layer, integrating LLMs and ML to optimize operational efficiency and decision-making.
Design, build, and deploy production-grade AI-powered products and shared platform capabilities in a secure SaaS environment. This includes developing agentic workflows, optimizing RAG pipelines, and maintaining AI observability and operational tooling.
Lead full-cycle recruiting for AI research scientists, computational biologists, and drug discovery leads. Build candidate pipelines and design screening frameworks to identify exceptional talent at the intersection of AI and biology.
Lead the launch and scaling of the iLumos.ai platform by managing the full customer journey from pre-sales discovery to renewal and expansion. Partner with leadership to refine GTM strategies and establish repeatable customer success processes for law firms and enterprise corporations.
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The role focuses on driving operational excellence by optimizing partner-facing processes and designing AI-powered automated workflows. It involves managing partner operations tools like Salesforce and Jira while leading high-visibility projects such as the Partner Portal rebuild.
Research Intern on Generative and Protective AI for Content Creation
Sony
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Full Time
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2 Weeks Ago
Sony
Investigate and apply novel algorithms for the generation and editing of video, sound, and 3D visual geometry. Analyze and mitigate ethical flaws in generative models with the goal of publishing findings in top-tier conferences.
Senior SEO Consultant (m/w/d) | Focus on Organic Search & AI | 100% Remote
hurra.com
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Full Time
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2 Weeks Ago
hurra.com
Strategically advise clients on SEO, AI, and organic search to achieve business goals through data-driven strategies. Manage projects independently, moderate workshops, and implement AI automations to increase process efficiency.
Lead the technical direction and design of production-grade AI systems and multi-model pipelines for a healthcare platform. Establish AI engineering standards, observability tools, and safety guardrails to ensure scalable and reliable solutions.
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