The Software Engineer II is responsible for building tools to help organizations succeed with Apple products. This includes breaking down customer problems into executable tasks and mentoring other engineers within an agile team.
Remote Artificial Intelligence Jobs (9,413)
Search = ai
Job category = Software Development
![Software Mind is hiring for remote [MNI] AI & Technology Solutions Project Manager](/assets/2083550c-5c59-4fae-b76e-a23e4817e5f2.jpeg){kind=small}
[MNI] AI & Technology Solutions Project Manager
Software Mind
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Full Time
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2 Weeks Ago
Software Mind
Manage the delivery of AI-enabled technology projects, cloud infrastructure, and platform services for global clients. Coordinate cross-functional technical teams while monitoring scope, timelines, and project profitability.
Design, develop, and validate statistical, machine learning, and AI models to analyze complex clinical trial data. Collaborate with cross-functional teams to transform business challenges into production-ready analytical solutions and communicate findings to stakeholders.
Head of Enterprise AI & Intelligent Automation (Global Business Services) (all genders)
RHI Magnesita
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Full Time
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2 Weeks Ago
RHI Magnesita
Lead the enterprise AI and intelligent automation strategy across Global Business Services to drive digital transformation and business value. Orchestrate the implementation of AI solutions across end-to-end processes while managing strategic partners and executive stakeholders.
Build scalable data pipelines, APIs, and AI engineering foundations to power Sales AI agents and personalized customer journeys. Collaborate with cross-functional teams to move AI solutions from conceptual ideas into production environments.
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Drive the architecture and optimization of generative AI applications with a focus on RAG pipelines and prompt engineering. Collaborate with the AI platform team to scale AI capabilities across the BMW Group and integrate data from various sources.
Design and build production-grade AI-powered applications from scratch using Galaxy's AI platform. Partner with teams to re-architect and scale AI prototypes into reliable, secure, and high-performance production systems.
AI Solution Architect (w/m/d)
Materna Virtual Solution GmbH
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Full Time
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2 Weeks Ago
Materna Virtual Solution GmbH
Design and implement the company's AI strategy and reference architecture, focusing on the development of a scalable AI and LLM platform. Identify AI use cases for software products and establish standards for prompt engineering, quality assurance, and governance.
Create high-converting VSLs and AI-generated UGC to drive sales for a medical recovery device. Manage high-fidelity AI clones and provide graphic design support to maintain a high-end medical brand aesthetic.
Design and maintain backend services and REST APIs that power AI-driven products using Galaxy's AI Suite. Integrate LLM, embedding, and RAG-based capabilities into application features while ensuring operational health and reliability.
Build and implement AI features by translating briefs into working models and ensuring their reliability in production. Monitor performance, refine prompts, and establish evaluation standards to prevent regressions.
Design and build production-grade AI-powered full-stack applications using Galaxy's AI platform. Partner with teams to transition AI prototypes into scalable, secure, and reliable production systems.
You will design and deploy complex automations that connect various systems to create a highly functioning revenue machine. Your primary objective is to build and maintain the marketing infrastructure that allows scaling from five offers to over 100 by the end of the year.
AI OPERATIONS LEAD - Freelance
Digital Luxury Group, DLG
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Full Time
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2 Weeks Ago
Digital Luxury Group, DLG
Design and deploy production-grade AI agents and automated workflows to replace high-volume manual tasks across media and creative operations. Train internal team members to independently modify and extend these AI systems.
Design, train, and deploy scalable AI and machine learning models tailored to business needs. Bridge the gap between raw data and automated product features through data pipeline optimization and API integration.
Sr Application Engineer (Salesforce-Agentforce Ai)
PointClickCare
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Full Time
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2 Weeks Ago
PointClickCare
Architect and deliver AI agents and intelligent process automations using Salesforce Agentforce to transform system workflows. Collaborate with cross-functional teams to prototype AI use cases and mentor junior application engineers.
Generate and quality-check AI-powered image, video, and audio assets for marketing and content tasks. Manage the iterative production process, including filtering outputs and preparing final assets for handoff.
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Design and deploy custom AI chatbots, agents, and automated reports to eliminate administrative tasks for leadership. Architect and maintain a unified knowledge base to ensure data accuracy and support informed business decisions.
Canada- Sr Application Engineer (Salesforce-Agentforce Ai)
PointClickCare
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Full Time
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2 Weeks Ago
PointClickCare
Architect and deliver AI agents and intelligent process automations using Salesforce Agentforce to transform system workflows. Collaborate with cross-functional teams to prototype AI use cases and mentor junior application engineers.
Lead the planning and execution of AI-driven features across the company's CRM, PWAs, and proprietary tools. Coordinate between technical teams and stakeholders to define project scope and ensure timely delivery using Kanban methodology.
Vertriebsexperte/in AI Voice Agent-Agentur (m/w/d)
Dialekta GmbH
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Full Time
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2 Weeks Ago
Dialekta GmbH
Actively acquire new B2B customers such as SMEs, medical practices, and law firms for AI voice agent solutions. Manage the entire sales pipeline from needs assessment and presentation to long-term relationship maintenance.
Design, build, and deploy AI-powered applications and agentic workflows using frameworks like LangGraph. Prototype innovative AI features and manage multimodal datasets to improve model accuracy and performance.
Lead and structure data collection projects for AI use cases, managing the process from need definition to final dataset delivery. Coordinate internal and external resources while ensuring data quality, traceability, and compliance with specifications.
Own the end-to-end technical architecture and engineering patterns for an enterprise AI agent platform. Lead the engineering team while serving as the primary technical voice in executive-level client engagements.
Intermediate Software Developer, Business Applications & AI
Advantage Parts Solutions
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Full Time
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2 Weeks Ago
Advantage Parts Solutions
Design, develop, and support business applications and data-driven workflows using Microsoft technologies. Integrate AI tools to improve automation, data quality, and decision support for operational workflows.
Build end-to-end fintech products using AI-assisted development tools like Claude Code and Cursor. Translate complex business requirements into production-ready code while owning the full technical architecture and quality control.
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Lead technical relationships with Japanese developers by providing integration support and troubleshooting for trading APIs. Develop SDKs, sample applications, and AI-powered tools to enhance the developer experience and product roadmap.
Data Engineer - Data & AI Applications
Capital Project Intelligence
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Full Time
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2 Weeks Ago
Capital Project Intelligence
Build and maintain data workflows, pipelines, and AI-enabled applications to support analytics and reporting. Collaborate with stakeholders to translate business requirements into technical solutions and ensure data integrity and security.
The role involves designing and implementing end-to-end AI architectures tailored to specific customer business requirements. You will bridge the gap between technical development and business strategy by leading workshops and managing projects from analysis to production rollout.
The AI Engineer will design and implement advanced AI models and algorithms to solve complex problems. They will collaborate with cross-functional teams to integrate these capabilities into existing products and analyze large datasets.
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