Lead the implementation, development, and operation of AI platforms and services while ensuring scalability and security. Establish governance models and technical guidelines to integrate AI capabilities responsibly across the business.
Remote AI Engineer Jobs (2,818)
Search = AI Engineer
Lead the introduction, operation, and evolution of secure and scalable AI platforms and services across the organization. Design governance frameworks and technical guardrails while driving AI initiatives from concept to implementation.
Design and develop scalable backend components and microservices using .NET and C#. Integrate AI capabilities and AI-assisted development tools into application workflows and the SDLC process.
AI Engineer (LLM / GenAI)
Prescience Decision Solutions
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Full Time
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7 Weeks Ago
Prescience Decision Solutions
Design and deploy scalable GenAI architectures and REST APIs using cloud environments and containerization. Develop AI agents and multi-agent systems while managing end-to-end MLOps pipelines for business use cases.
AI Engineer (Python, LLM-Agenten & RAG) | 100% Remote | Angestellte/r | IT
Lekker Code Company
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Full Time
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7 Weeks Ago
Lekker Code Company
Develop and productionize LLM-based agents and RAG pipelines while designing AI architectures involving embeddings and vector databases. Integrate AI components into existing systems, primarily using Python and .NET, and contribute to the growth of the AI competency area.
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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.
Applied AI Engineer (Agentic Workflows & RAG) - Master-Level Internship
Vosyn
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Full Time
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7 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.
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 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 end-to-end AI-native systems, including the underlying data foundation and full-stack applications. Own the entire lifecycle from client discovery and architecture to production deployment using AI coding agents as accelerators.
Lead the engineering strategy and development of an agentic AI platform to transform business processes into intelligent experiences. Oversee end-to-end AI operations, including deployment, monitoring, and the establishment of engineering best practices.
Lead the engineering strategy, design, and deployment of an agentic AI platform to transform business workflows into intelligent experiences. Oversee end-to-end AI operations, including monitoring, reliability, and the mentorship of high-performing engineering teams.
Staff AI Engineer (AI Enablement Platform)
ABC Financial Services
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Full Time
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7 Weeks Ago
ABC Financial Services
Build and operate a shared AI Enablement Platform providing reusable APIs, orchestration patterns, and evaluation systems for product teams. Lead the technical direction and establish engineering standards for production-grade AI implementation across the company.
Design and deliver scalable AI data pipelines and application layers using agentic coding tools to accelerate development. Orchestrate high-velocity workflows while maintaining rigorous architectural guardrails, security, and production stability.
Senior AI Engineer – Reasoning & Decision Systems (AI Software Tools)
Anyon Systems Inc.
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Full Time
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7 Weeks Ago
Anyon Systems Inc.
Implement reasoning and decision-making systems in production code to build scalable infrastructure for inference and planning. Optimize performance for real-time hardware-in-the-loop operations and collaborate with researchers to productionize new AI ideas.
Design and deploy autonomous AI systems capable of reasoning, planning, and executing multi-step workflows. This includes implementing agent orchestration frameworks, optimizing RAG pipelines, and integrating tools and memory for dynamic objective achievement.
Design and build production-grade LLM-powered applications and agentic workflows using Python. Implement RAG pipelines and integrate AI systems with backend services and cloud platforms.
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The role involves designing and implementing AI-powered solutions and managing the data lifecycle to ensure quality and governance. Additionally, the engineer will automate business processes using Power Platform and maintain Dynamics 365 systems.
Develop and implement AI agents, GenAI applications, and RAG workflows to drive operational efficiency. Build secure backend services, API integrations, and automation scripts for enterprise collaboration platforms.
Design and implement AI and GenAI features using platforms like Azure AI Foundry and orchestration frameworks. Build full-stack applications and integrate backend services with SQL/NoSQL databases.
Design and implement advanced AI and GenAI features using multi-agent workflows and RAG architectures. Build scalable full-stack applications and lead the integration of AI-assisted development practices across the SDLC.
Build and own a cross-platform endpoint agent to detect and attribute AI-generated code within Git workflows. Design reliable pipelines for capturing and shipping developer activity while integrating with various AI coding agents.
Design and build integrations between AI platforms and corporate business systems like Salesforce and Snowflake. Manage GCP resources and partner with Enterprise Security to ensure secure AI-assisted development.
Lead the design and delivery of polished, production-grade user interfaces for AI products using React and TypeScript. Collaborate with stakeholders to architect new experiences and mentor engineers to maintain high technical standards.
Partner with enterprise AI teams to design and scale production-grade GenAI observability and evaluation programs. Build custom integrations and tooling to extend the Arize platform while managing multiple concurrent client engagements.
Design and build modern data platforms, analytics, and ML/AI Agent solutions for enterprise clients. Transform complex real-world data into actionable insights across various industries.
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Design and build production-quality GenAI applications, including RAG bots and multi-agent systems, for diverse industry clients. Advise clients on AI strategy and mentor junior engineers to enhance internal AI practices.
AI Engineer (Life Sciences & Healthcare)
Coherent Solutions
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Full Time
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7 Weeks Ago
Coherent Solutions
Design, build, and deploy production-ready AI and machine learning systems, including end-to-end pipelines and microservices. Collaborate with cross-functional teams to integrate LLMs and RAG architectures into scalable healthcare applications.
Build and ship production-ready AI-powered product features and LLM-based workflows from idea to deployment. Improve existing AI systems for quality, reliability, and latency while integrating capabilities into backend systems.
AI Engineer — FFG AI Fellowship (Part-Time, Founding Cohort)
Foundry for Good
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Full Time
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7 Weeks Ago
Foundry for Good
Build and own production-ready internal AI agents and automation to replace manual workflows across various brands. Establish the technical standards and stack for the full-time AI team while coaching non-technical staff on AI-native workflows.
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