Design and deploy scalable data pipelines and AI agents using Celigo's integrator.io and frameworks like LangChain. Collaborate with stakeholders to automate complex business processes and ensure integrations meet security and quality standards.
Remote Artificial Intelligence Jobs (9,419)
Search = ai
Job category = Software Development
Manage high-risk, complex client accounts by diagnosing root causes of failure and implementing recovery plans to ensure retention. Act as a senior advisor to founders on GTM strategy and execution while building scalable escalation frameworks.
AI Integration & Data Engineer (Vibecoding) - Master-Level Internship
Vosyn
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Full Time
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6 Weeks Ago
Vosyn
The role involves building data pipelines and integrating client databases, APIs, and SaaS systems to feed AI features. You will be responsible for extracting, cleaning, and transforming messy real-world data into structured formats for RAG and agentic workflows.
Architect and deliver production-grade AI/ML systems and enterprise automation solutions to improve Medicare Advantage operations. Lead the design of LLM-powered applications and mentor junior engineers to elevate team engineering practices.
AI Systems & Automation Consultant (Claude Code & Business Automation)
Bamboo Works
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Full Time
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6 Weeks Ago
Bamboo Works
Design and optimize AI-powered workflows and operational processes across a diverse portfolio of real estate, lending, and SaaS businesses. The role involves building scalable systems using Claude Code and various automation tools to improve organizational efficiency.
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Design and deploy scalable AI and generative AI solutions, including copilots and agentic workflows, across healthcare and public sector domains. Collaborate with cross-functional teams to translate business requirements into technical prototypes and production-ready assets.
Design and deploy scalable AI and generative AI solutions, including copilots and agentic workflows, across healthcare and public sector domains. Collaborate with cross-functional teams to translate business requirements into technical designs and reusable AI accelerators.
Implement and optimize AI-driven cybersecurity use cases and process automation. Define AI security standards and conduct security reviews for internal AI systems to ensure alignment with enterprise requirements.
Define runtime protocols and execution models to stream interactive 3D content between game engines and AI models. Develop critical subsystems across the engine stack, focusing on serialization, synchronization, and AI-engine feedback loops.
Growth Marketing Lead | $125K-$150K USD + Bonus + Equity + Remote | Award Winning AI Marketing SaaS Company
PhillyTech.Co
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Full Time
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6 Weeks Ago
PhillyTech.Co
Build and scale a repeatable, partnership-led growth engine to generate a qualified pipeline and revenue. Responsible for managing marketing budget allocation, channel strategy, and optimizing website messaging for higher conversions.
Execute end-to-end customer design briefs using the Raspberry AI platform to create production-ready visual assets for fashion brands. Collaborate with US-based teams to translate creative direction into precise AI prompts and maintain high quality control on deliverables.
Build responsive web applications and internal tools using AI-native IDEs and prompt-to-app builders. Integrate these front-end builds with back-end AI services and document the process in Notion.
Applied AI Engineer (Agentic Workflows & RAG) - Master-Level Internship
Vosyn
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Full Time
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6 Weeks Ago
Vosyn
Design and implement agentic workflows and RAG pipelines to ground AI outputs in real-time client data. Select appropriate LLMs for specific tasks and develop evaluation harnesses to ensure system reliability and correctness.
Develop and deploy AI agent harnesses using Python and LangChain to automate analyst workflows and surface insights from Snowflake data. Own the full lifecycle of production features, including building evaluation harnesses, implementing guardrails, and monitoring traces.
Develop and deploy Generative AI solutions to improve healthcare payment integrity and quality of outcomes. Collaborate with stakeholders to assess AI use cases and integrate models into the company's machine learning platform.
Diagnose company inefficiencies by mapping workflows and deploying AI-powered systems to increase Revenue Per Employee. Build and maintain production AI agents and automations while driving team adoption through documentation and training.
Head of Engineering - Stealth AI Industrial Commerce Startup
UP.Labs
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Full Time
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6 Weeks Ago
UP.Labs
Lead and grow the engineering team while architecting a core AI-powered identification and commerce platform for the industrial aftermarket. Own the technical vision, data infrastructure, and mobile-first product experience from MVP to enterprise scale.
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Chief of Staff - Stealth AI Manufacturing Planning Startup
UP.Labs
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Full Time
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6 Weeks Ago
UP.Labs
Build and oversee internal operational infrastructure, back-office functions, and KPIs for a stealth AI manufacturing startup. Act as the primary link between enterprise customers and the product team to drive adoption and inform the product roadmap.
Develop and execute a comprehensive organic SEO and Generative Engine Optimization (GEO) strategy to increase brand visibility across traditional search engines and AI chatbots. Manage technical audits, content architecture for LLM ingestion, and track performance using AI-specific discovery tools.
Drive the architecture and delivery of scalable, cloud-native platforms utilizing microservices and AI capabilities. Lead the development of intelligent search systems, RAG frameworks, and AI-powered decision-support tools.
Video Editor / AI Creative Cutter (m/w/d) - Video Ads für Meta & Co
everydays
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Full Time
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6 Weeks Ago
everydays
Create and iterate high-performing video ads for Meta platforms using a combination of traditional editing and AI tools. Collaborate with creative strategists and media buyers to optimize content based on performance data and psychological triggers.
The AI Business Architect provides technical advisory and feasibility support for Enterprise AI initiatives, focusing on architectural alignment and scalable solution approaches. The role involves evaluating AI engineering patterns, identifying reusable capabilities, and surfacing risk and governance considerations early in the lifecycle.
Lead the Applied AI and Data Platform organization to transform AI models into reliable agents for healthcare administrative work. Own the AI roadmap, scale data operations, and build production-grade evaluation and observability systems.
Investment Banking Associate, AI Residency (Part-time) | Applied AI x Corporate Finance
Aptura
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Full Time
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6 Weeks Ago
Aptura
Contribute deal experience to a research project to improve AI reasoning in investment banking and capital markets. Generate, refine, and evaluate content reflecting senior professional thinking on transactions from origination to close.
Platform Professional Services Sr. Consultant, AI (Remote, MEX)
CrowdStrike
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Full Time
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6 Weeks Ago
CrowdStrike
Responsible for the planning, deployment, and operational support of CrowdStrike's AI-powered detection and response capabilities. This includes optimizing AI models, automating response workflows, and providing technical implementation assistance to customers.
Platform Professional Services Sr. Consultant, AI (Remote)
CrowdStrike
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Full Time
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6 Weeks Ago
CrowdStrike
Responsible for the planning, deployment, and operational support of CrowdStrike's AI-powered detection and response capabilities. This includes optimizing AI models, automating response workflows, and assisting customers with technical implementation and troubleshooting.
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Design, build, and operate production-grade Generative AI solutions and agentic workflows to improve customer experience and operational efficiency. Lead the end-to-end lifecycle of AI initiatives, including architecture, experimentation, deployment, and continuous monitoring.
The role acts as the bridge between strategic consulting and technical implementation, designing scalable AI architectures and building functional prototypes. Responsibilities include technical lead for customer projects, evaluating tech stacks, and shaping the future engineering team.
The role involves building robust data foundations and retrieval pipelines for AI applications and internal software products. This includes analyzing existing data architectures for clients and implementing technical solutions for unstructured data ingestion.
Design and build a production-grade AI platform to automate managed services workflows, focusing on agentic AI for incident triage and remediation. Drive measurable operational outcomes such as reduced MTTR and ticket volume through the integration of AI into core service delivery processes.
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