Assist in building and testing AI-powered workflows to automate business processes and enhance customer experiences. Develop applications using LLMs and integrate AI solutions with APIs, databases, and business tools.
Remote Artificial Intelligence Jobs (9,418)
Search = ai
Job category = Software Development
Design and train large-scale transformer and hybrid foundation models for a conversational AI platform. This includes managing training stability, navigating scaling tradeoffs, and defining the technical direction for next-generation models.
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.
Dozent:in AI Full-Stack Entwicklung in Vollzeit oder Teilzeit
App Akademie GmbH
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Full Time
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3 Weeks Ago
App Akademie GmbH
Conduct live teaching sessions for adults covering full-stack development and AI-supported processes. Prepare and develop educational materials, exercises, and practical projects while guiding students toward the IT job market.
Design and implement end-to-end AI solution architectures for enterprise environments, focusing on Generative AI and RAG. Lead technical design, define platform strategies, and mentor engineering teams to maintain high AI engineering standards.
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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.
The intern will build AI-powered business processes and automate repetitive tasks across marketing, sales, and operations. This includes creating AI agents, documenting workflows, and collaborating with various teams to improve organizational efficiency.
Design and lead the evolution of enterprise-wide AI platforms, including LLM pipelines and agentic workflows, to enable scalable digital transformation. The role involves defining architecture strategy, managing hybrid cloud infrastructure, and providing senior stakeholder advisory on AI adoption.
Own end-to-end client engagements to measure and grow brokerage partners' visibility within AI-generated answers. This includes tracking mentions and sentiment, analyzing competitive positioning, and translating data into actionable growth strategies.
Architect, build, and deploy AI agents and automation layers to augment the ANZ marketing function's output. This includes managing the marketing connector stack, ensuring data flow health, and embedding brand voice and compliance into AI outputs.
Senior Technical Program Manager (Engineering) - AI Tooling & Systems
Deepgram
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Full Time
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3 Weeks Ago
Deepgram
Drive the end-to-end delivery of large-scale ML infrastructure and AI tooling, including model training pipelines and real-time inference systems. Act as the primary connector between ML research, engineering, and product teams to align technical strategy and execution.
Identify and cultivate new business opportunities for the automation platform while managing customer data and contract renewals. Support the sales team with administrative tasks, lead screening, and the creation of marketing materials.
Lead and grow a small team of AI software engineers while remaining hands-on in coding and system design. Develop GenAI-powered solutions and agentic LLM patterns to automate complex tasks and improve business efficiency.
The role involves organizing and completing enterprise customer data, establishing contact with existing clients, and supporting the sales team with various administrative tasks. Additionally, the position includes conducting analytical work related to renewal transactions and assisting in drafting marketing materials.
Lead the architecture and implementation of OpenShift AI-based solutions, guiding customers through their AI transformation journey. This role spans pre-sales activities, such as solution design and proposals, and delivery leadership to operationalize AI workloads.
Lead the technical architecture and direction for AI-powered tools, platforms, and company-owned IP. Partner with product management to design and scale production-grade AI solutions and mentor staff developers.
Senior Machine Learning Systems Engineering Manager - AI & ML Platform
Atlassian
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Full Time
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3 Weeks Ago
Atlassian
Lead the AI & ML Platform team to build and run infrastructure that supports generative LLMs, model serving, and data training. Focus on coaching engineers, driving technical standards, and collaborating with stakeholders to influence the platform's strategic direction.
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Embed with strategic enterprise accounts to identify operational procurement problems and build custom AI agent solutions using Zip's infrastructure. Manage the end-to-end customer relationship and provide structured feedback to product teams to improve platform repeatability.
Develop and maintain the internal deal intelligence tracker using AI tools and design automated workflows to convert market signals into structured data. Conduct targeted research on companies and financial sponsors to support real-time M&A deal tracking.
The AI Product Manager will discover customer problems and define product goals to grow the core application using AI technologies. They will collaborate with engineering and design teams to build, test, and optimize AI-driven user experiences.
Lead the design and deployment of internal AI agents and automated workflows to decouple company growth from headcount. Partner with executive leadership to identify high-ROI AI use cases and enable non-technical teams to adopt AI tools.
Design and architect production-ready AI solutions for customer experience, focusing on LLMs, RAG, and orchestration layers. Drive strategic AI opportunities with partners and GSIs while creating reusable technical assets and enablement frameworks.
Software Engineer 4/5 – Data and Feature Infrastructure, AI Platform
Netflix
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Full Time
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3 Weeks Ago
Netflix
Develop and maintain data and feature infrastructure for the AI Platform. Focus on pushing the boundaries of technology to support storytelling and global fandom.
Develop and integrate novel AI algorithms and models to augment physics-driven simulation systems for space sustainability. Collaborate with cross-functional teams to build mission-critical decision-support tools and contribute to technical research publications and patents.
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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3 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.
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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.
Design and build end-to-end agentic AI architectures and tool-calling loops to interact with graph databases. Engineer LLM serving infrastructures and fine-tune models to translate scientific requests into structured queries.
The AI Operations Lead will embed with various teams to map workflows and implement scalable AI-powered automations and Claude skills. They are responsible for building a company-wide champion network and codifying reusable AI patterns to drive operational efficiency.
Design and engineer scalable, secure AI-enabled automation workflows and orchestration patterns using n8n and Boomi. Establish enterprise standards for governance, monitoring, and responsible AI implementation to improve operational scale and productivity.
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