Lead the design and delivery of AI-powered solutions for clients, bridging the gap between business requirements and technical implementation. Responsible for AI architecture, prompt engineering, and the optimization of RAG pipelines in both cloud and on-premises environments.
Remote Artificial Intelligence Jobs (6,066)
Search = ai
Job category = Software Development
The Product Manager will lead the 0 to 1 development of agentic AI products for SMBs, shaping roadmaps and prioritizing features. They will collaborate with engineering and design teams to prototype, test, and deploy capabilities while managing product marketing and user feedback.
Mid-Level AI Engineer
AspenView Technology Partners
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Full Time
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5 Days Ago
AspenView Technology Partners
The role involves co-creating Python applications with LLMs and maturing an in-house QA testing framework. The engineer will optimize prompts, evaluate AI outputs, and maintain internal scripts to ensure scalable and reliable AI workflows.
The intern will research and develop advanced generative AI and AGI solutions to improve healthcare treatment, payment, and operations. Responsibilities include developing LLMs, maintaining AI governance, and collaborating with cross-functional teams and academic partners.
Senior AI Testing Engineer (Generative AI)
Wadhwani Foundation
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Full Time
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5 Days Ago
Wadhwani Foundation
Design and own comprehensive testing strategies and evaluation frameworks for Generative AI products, including LLMs, RAG pipelines, and AI agents. Build automated evaluation pipelines and define measurable quality KPIs to ensure system reliability and safety.
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Define and scale a global AI sales motion to drive revenue and adoption of AI-powered experience orchestration solutions. Lead a distributed team of specialists and architects to execute complex deals and articulate business value to C-level stakeholders.
Develop AI-powered analytics solutions and intelligent tools to convert complex healthcare data into actionable business insights. Design dynamic dashboards and automate insight generation to support commercial strategy and operational performance.
AI Engineer (m/w/d) - LLM Apps, RAG & Argentic Systems (german speaking)
sandan AI
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Full Time
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5 Days Ago
sandan AI
Develop and manage LLM pipelines, agent architectures, and evaluation frameworks for marketing use cases. Transition notebook explorations into production-ready pipelines and collaborate with full-stack engineers for platform integration.
Produce high-quality short- and long-form AI videos from concept to final output for social, marketing, and product storytelling. This includes generating voiceovers, lip-syncing, and maintaining visual consistency across all outputs.
Investment Banking Analyst - AI Trainer - Freelance - 8-20hrs/week - Remote
10x Team
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Full Time
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5 Days Ago
10x Team
Review and refine AI-generated outputs related to investment banking, M&A, and financial modeling to ensure accuracy. Develop real-world case studies and provide actionable feedback to guide AI systems in applying banking methodologies.
Model Validation Analyst - AI Trainer - Freelance - 8-20 hrs/week - Remote
10x Team
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Full Time
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5 Days Ago
10x Team
Review and refine AI-generated content regarding model risk management and quantitative analysis to ensure industry alignment. Create technical scenarios and case studies to teach AI how to evaluate complex financial and risk models.
Build and own the AI-driven video editing interface, including chat-driven controls and streaming UI for AI plan previews. Develop end-to-end features from frontend components to Node.js services and AWS persistence layers.
Design, develop, and deploy customized AI-driven use cases and bots across Genesys platforms. Provide expert consulting during presales, project execution, and post-deployment value realization.
Develop and maintain the core software components of the AI Context Layer to connect enterprise data to LLMs. This includes building AI Data Lakehouse services, automating CI/CD pipelines, and implementing RAG patterns for secure data retrieval.
Serve as the primary Identity Subject Matter Expert to ground AI agents in real-world enterprise governance and risk realities. Lead technical strategy and architectural design for critical engagements in the AMER region while influencing the product roadmap.
Design and execute red team assessments to evaluate the security and resilience of advanced AI systems and infrastructure. Identify vulnerabilities and failure modes to provide actionable recommendations for improving system safety.
Design and implement AI-native agentic systems and multi-agent workflows to extract structured knowledge from historical and genealogical records. Innovate using state-of-the-art AI for tasks like OCR, NER, and relation extraction while collaborating with ML Ops for cloud deployment.
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Identify and prototype practical AI solutions to improve business workflows and operational decision-making across the enterprise. Collaborate with stakeholders and technical teams to implement AI assistants, knowledge tools, and automation while ensuring responsible AI use.
Lead end-to-end AI transformation projects with full accountability for scope, budget, and deliverable quality. Manage direct reports and serve as the primary strategic partner for C-suite client stakeholders while driving business development opportunities.
Deliver complete AI workstreams and specialized solution components while managing client relationships and facilitating stakeholder workshops. Act as a liaison between business stakeholders and technical teams to translate ambiguous needs into scalable AI automation systems.
VP, Analyst - AI Strategy for Supply Chain Leaders (Remote US)
Gartner
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Full Time
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5 Days Ago
Gartner
Serve as a Gartner Analyst and thought leader by identifying supply chain trends and advising Chief Supply Chain Officers on functional and technology strategies. Author research reports and white papers while providing actionable insights through webinars and client meetings.
Lead the design, training, and deployment of ML models and autonomy architectures for lunar surface and in-space operations. Manage a focused team of engineers to build simulation pipelines and integrate AI capabilities into Blue Origin's space systems.
Develop and deploy ML and GenAI capabilities, including RAG and LLM-powered features, into production applications. Responsibilities include model integration, MLOps implementation, and collaborating on responsible AI practices.
Direct AI coding tools to produce production-quality code across the full stack while reviewing and validating all outputs. Act as the final line of defense for production stability and mentor junior engineers on AI tool fluency.
Lead the adoption of AI-driven workflows to improve marketing efficiency and content production. Own the demand infrastructure and systems to ensure measurable pipeline growth and data integrity.
Build and scale Nebius' ISV and AI partner ecosystem from the ground up to drive net-new customer acquisition and revenue. Develop repeatable co-sell motions and lead joint go-to-market execution with strategic partners.
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Own organic growth by driving SEO and AI search performance to increase traffic, signups, and share of voice in AI answers. Lead the roadmap for technical SEO, programmatic page systems, and repositioning the brand within LLMs.
Senior Organic Growth Consultant – SEO & AI Search (m/w/x) | 100 % Remote möglich | ab 55.000 €/Jahr
Radyant Digital GmbH
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Full Time
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5 Days Ago
Radyant Digital GmbH
Responsible for driving organic growth for clients by developing search strategies across Google and AI platforms like ChatGPT and Perplexity. Manages content quality and AI-driven workflows to generate qualified leads and revenue impact.
Design and maintain MCP-based infrastructure and AI-powered backend services using TypeScript and Node.js. Build internal automation tools and integrate LLM APIs to create reliable, scalable AI workflows.
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.
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