Architect and build production-ready multi-agent AI systems that transform longitudinal health data into actionable medical insights. You will own the end-to-end pipeline including orchestration, retrieval, evaluation, and observability to ensure safety and reliability.
Remote Artificial Intelligence Jobs (9,417)
Search = ai
Job category = Software Development
Lead AI enablement programs to help financial institutions adopt AI tools and workflows through workshops and training. Partner with technical teams to translate AI capabilities into practical business outcomes and track adoption metrics.
Build AI-native product features and automated agent systems to help financial advisors and business owners analyze performance. Develop backend services, data pipelines, and evaluation loops to ensure the reliability and accuracy of LLM-powered systems.
Identify high-leverage AI opportunities across the company to improve revenue, efficiency, and quality. Build and validate working prototypes, including internal workflow automations and AI-enabled tools, to inform future investments.
Orchestrate complex AI engagements for B2B retail and CPG partners from discovery through workflow adoption. Act as the primary bridge between field execution and R&D to ensure platform value and scalable delivery frameworks.
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Orchestrate complex AI engagements for B2B retail and CPG partners from discovery through workflow adoption. Serve as the primary bridge between field execution and R&D while managing engagement economics and building scalable delivery playbooks.
Full-Stack Software Engineer | AI Accelerated | (m/w/d)
Merlin Digital Solutions GmbH
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Full Time
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7 Weeks Ago
Merlin Digital Solutions GmbH
Design, build, and operate AI systems including conversational AI and RAG for the public sector. Develop scalable multi-tenant SaaS backend architectures and own features from ideation to production.
The role involves managing customer relationships and advising clients on digital marketing strategies. You will use AI tools to execute marketing projects and coordinate team members to ensure high-quality delivery.
Implement new AI features, build tools for LLM/VLM capabilities, and develop AI agents and automations. The role involves fine-tuning models using HuggingFace and moving AI-driven concepts from proof of concept to production.
Conversational AI Designer
Full Potential Solutions
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Full Time
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7 Weeks Ago
Full Potential Solutions
Design and implement natural, user-friendly dialogue flows for chatbots and voice assistants across multiple AI platforms. Collaborate with clients and engineers to translate business goals into technical conversation architectures and iterate based on user analytics.
Drive enterprise-wide technology security strategy with a focus on implementing innovative AI and cloud security solutions. Lead the secure design of cloud foundational controls and manage the migration from on-premise datacenters to public cloud environments.
Subject Matter Expert (SME) – Generative AI in Medical Research
Cactus Communications Services Pte. Ltd.
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Full Time
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7 Weeks Ago
Cactus Communications Services Pte. Ltd.
The SME will guide the design and validation of Generative AI products to improve the quality and speed of medical evidence generation. They will act as a scientific bridge between clinical researchers and technical teams to translate research workflows into AI capabilities.
Technical Prize Director, Energy Efficient AI
XPRIZE Foundation
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Full Time
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7 Weeks Ago
XPRIZE Foundation
Lead the operational and technical execution of the Energy Efficient AI Prize, managing the competition lifecycle from technical validation to judging. Serve as a global ambassador and subject matter expert to coordinate between tech giants, researchers, and stakeholders.
Design and operate the Agent SDK and MCP Gateway to enable Netflix engineers to build and deploy production-grade AI agents. Establish evaluation frameworks, tracing, and quality signals to ensure the reliability and performance of non-deterministic AI systems.
Take operational ownership of the configuration, reliability, and technical standards of the company's AI tools and platforms. Drive technical improvements to reduce friction and ensure the AI stack is scalable and dependable.
Take operational ownership of the configuration, reliability, and technical standards of the company's AI tools and platforms. Drive technical improvements to reduce friction and ensure the AI stack is scalable and dependable.
Design and implement scalable security architectures to enable the secure adoption and governance of enterprise AI tools like Claude Enterprise. Lead end-to-end AI security implementation efforts, including identity integration, access control, and risk mitigation across diverse client environments.
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1935 Azure DevOps Engineer (AI / Agentic) ML Ops Engineer
In All Media Inc
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Full Time
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7 Weeks Ago
In All Media Inc
Design and implement AI-driven automation and LLM integrations to optimize DevOps workflows and reduce human toil. Architect and manage scalable Azure cloud infrastructure, focusing on self-healing ecosystems and high availability.
The role involves architecting and implementing optimizations for AI model execution on graph compilers to maximize hardware utilization and reduce latency. You will collaborate with hardware architects and researchers to convert high-level AI models into efficient intermediate representations for inference accelerators.
Embed with AI-native customers to build production-ready POCs, MVPs, and scalable inference foundations. Translate customer pain points into product improvements and guide model selection and fine-tuning strategies.
Design, build, and operationalize agentic AI solutions embedded within enterprise client environments. Lead technical discovery and integrate AI systems with enterprise platforms while ensuring production-grade governance and observability.
Design and build scalable machine learning training and inference pipelines to power generative AI music experiences. Collaborate cross-functionally to develop evaluation frameworks and integrate LLM-driven features into production-ready products.
Senior Automated Customer Experience / AI Conversation Designer
Super.com
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Full Time
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7 Weeks Ago
Super.com
Design, build, and optimize AI chatbot playbooks and conversational flows across chat and voice channels using the Decagon AI platform. Monitor performance metrics like CSAT and resolution rates to translate customer feedback into actionable AI product improvements.
The role involves testing, attacking, and defending generative AI implementations through red teaming and penetration testing. It also requires designing defensive guardrails and establishing secure development standards for AI agents and LLMs.
Lead the implementation of AI game design while managing technical debt and ensuring code maintainability. Collaborate with producers and designers to assess roadmap feasibility and oversee the technical quality of gameplay features.
Lead discovery workshops and stakeholder interviews to translate complex business needs into actionable requirements for data and AI solutions. Document current and future state business processes while defining KPIs and supporting data platform modernization initiatives.
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AI Engineer - Governance Intelligence, Third Party (India)
Credo.AI
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Full Time
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7 Weeks Ago
Credo.AI
Build automated intelligence pipelines to collect and parse AI vendor documentation and benchmarks into a structured knowledge graph. Design synthesis systems that map technical capabilities to risk taxonomies to power an AI Governance Intelligence Engine.
The AI Manager leads the operational execution of the organization's applied AI strategy across clinical and administrative domains. This includes managing the full AI algorithm lifecycle from intake and evaluation to deployment and optimization.
Design and implement production-ready AI features using LLMs, agent frameworks, and retrieval-augmented generation. Optimize AI architecture for cost, latency, and accuracy while managing voice AI and regulated data flows.
Drive enterprise AI strategy, innovation, and the design of scalable AI-driven solutions to solve complex business challenges. Establish AI governance frameworks and ensure the adoption of responsible and explainable AI practices.
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