Design and build AI agent pipelines and RAG systems using graph-based workflows and vector search architectures. Develop end-to-end product features including scalable FastAPI backends and polished React/Next.js frontends.
Remote Artificial Intelligence Jobs (9,418)
Search = ai
Job category = Software Development
Operate and support large-scale AI infrastructure platforms powered by NVIDIA GPUs and Kubernetes across multiple datacenters. Resolve technical incidents related to hardware, networking, and platform stability while contributing to automation and observability improvements.
Lead the planning and delivery of strategic AI initiatives while guiding a team of AI and software engineers. Partner with cross-functional stakeholders to translate business priorities into technical roadmaps and high-quality AI solutions.
AI Data Expert - Spanish (US) - Remote
LILT (Production)
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Full Time
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7 Weeks Ago
LILT (Production)
Review and evaluate AI-generated outputs and prompts to ensure accuracy, clarity, and cultural appropriateness. Provide structured annotations and original content to improve AI model performance based on local norms.
AI Data Expert - Spanish (Spain) - Remote
LILT (Production)
·
Full Time
·
7 Weeks Ago
LILT (Production)
Review and evaluate AI-generated outputs and prompts to ensure accuracy, clarity, and cultural appropriateness. Provide structured annotations and original content to improve AI model performance based on local Spanish norms.
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Design and develop modern test automation architectures and scalable frameworks for enterprise applications using AI-supported approaches. Integrate automation into CI/CD pipelines and provide strategic consulting to development teams on quality engineering best practices.
Build and deploy AI agents and agentic workflows to automate productivity for a global private equity firm. This includes designing RAG pipelines, processing financial documents, and integrating REST APIs into business systems.
Founding Business Development Rep (AI Cloud US/CA)
Featherless AI
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Full Time
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7 Weeks Ago
Featherless AI
Build and qualify a pipeline of enterprises and AI startups while managing inbound requests and outreach automations. Coordinate discovery meetings with leadership and execute creative GTM experiments to grow the open-model ecosystem.
Take full ownership of the on-time delivery of complex AI/ML and API-based SaaS products. Act as the Product Owner for development teams by translating product requirements into actionable technical stories and managing stakeholder expectations.
Responsible for designing AI-driven investment research products and building high-quality RAG knowledge bases for digital assets. The role involves creating on-chain data models and integrating AI capabilities to improve investment decision-making efficiency.
Take full ownership of the on-time delivery of complex AI/ML and API-based SaaS products. Act as the Product Owner for development teams by translating product requirements into actionable technical stories and managing stakeholder expectations.
Lead the architectural design and implementation of secure, scalable Azure infrastructure to support cloud and AI transformation. Partner with customers to migrate workloads and optimize environments for health, security, and performance.
Lead strategic technical engagements to guide enterprise customers through their Cloud and AI transformation journeys on Microsoft Azure. Design secure, scalable architectures and advise C-level executives to drive innovation and business value.
Software Engineer 4 – Data and Feature Infrastructure, AI Platform
Netflix
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Full Time
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7 Weeks Ago
Netflix
Design and build a next-generation ML data and feature platform to improve productivity for ML practitioners. This includes developing near-real-time feature computation engines and centralized feature and embedding stores for high-throughput training and low-latency inference.
Lead advanced technical discussions with enterprise customers to design and scale AI, analytics, and HPC storage architectures. Partner with sales teams to optimize GPU utilization and bridge on-premises infrastructure with AI hyperscaler environments.
Design and implement production-grade agentic AI systems and RAG pipelines to automate financial workflows and enhance customer experiences. Collaborate with product and design teams to build scalable, secure, and auditable AI infrastructure within a regulated environment.
Design and build distributed, fault-tolerant infrastructure to power AI agent capabilities, including memory and state management. Own the technical architecture and develop observability and reliability tooling for autonomous systems.
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Build and maintain customer-facing AI-enabled features and workflows integrated into core product workflows. Contribute to internal services and collaborate with teammates to ship high-impact AI systems.
Sr. AI Security Engineer
Backblaze External Website
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Full Time
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7 Weeks Ago
Backblaze External Website
Design and implement security safeguards for internal AI and agentic systems, focusing on runtime enforcement and identity controls. Establish observability, detection capabilities, and threat models to prevent unsafe AI-driven activity and protect developers.
Own the developer platform and tooling to accelerate shipping speed for engineers, PMs, and designers. This includes evolving AI agents within the SDLC, managing monorepos, and overseeing cloud infrastructure and CI/CD pipelines.
Design and operate AI agents and intelligent automation workflows to streamline enterprise business processes. Lead the integration of LLM-powered capabilities with enterprise systems while ensuring security, reliability, and performance optimization.
Design and scale business workflows using Salesforce Flow and AI-driven tools to reduce manual activity for sellers and recruiters. Partner cross-functionally to develop repeatable automation frameworks and maintain operational governance standards.
Build reusable agentic platform capabilities, including orchestration, memory, and RAG systems for smart-home experiences. Develop safety gates, evaluation patterns, and partner with cross-functional teams to productionize AI agents.
Build internal AI tools, prototypes, and business workflows to integrate AI across various company teams. Define reusable patterns and shared infrastructure to scale AI value and improve organizational efficiency.
Define and deliver AI infrastructure capabilities for large-scale GPU workloads by translating customer requirements into technical specifications. Partner with engineering and operations teams to build scalable offerings for training, inference, and cluster orchestration.
The role involves identifying high-value opportunities from data and building practical ML or heuristic solutions to improve developer workflows. You will own the end-to-end execution from data exploration and modeling to backend integration and productization.
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Design and build AI agents and semantic layers to analyze ad campaigns and optimize ROAS and partner outcomes. Develop dbt models, RAG workflows, and evaluation suites to drive data-driven commercial insights.
Lead the delivery engine for an engineering organization transitioning to agentic AI development patterns and modernization. Manage the integration of the Solovis and Venn engineering teams while owning KPI frameworks and capacity planning.
Architect and build robust AI/ML production systems focusing on backend distributed systems and microservices. Lead cross-functional initiatives to optimize model training, real-time inference, and operational reliability.
Design and implement AI-powered features and integrate LLMs into Vanta's existing products to accelerate customer compliance. Collaborate with cross-functional teams to build scalable AI systems, establish guardrails, and mentor other engineers.
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