Partner with ML engineering teams to diagnose and resolve complex distributed systems and infrastructure issues in production. Drive long-term reliability improvements by building internal tooling, automation, and documentation.
Remote Artificial Intelligence Jobs (9,418)
Search = ai
Job category = Software Development
You will own features end-to-end, from design through implementation and iteration, while collaborating with product and engineering teams. Additionally, you will extend the company's agentic AI foundation into customer-facing product experiences across the full suite.
You will own features end-to-end, from design through implementation and rollout, while collaborating with product and engineering teams. Additionally, you will extend agentic AI foundations into customer-facing product experiences across the company's suite.
Drive core research by developing and executing scientific vision while designing reinforcement learning feedback loops for biological models. Collaborate with the experimental team to bridge wet and dry lab efforts and architect robust model training infrastructure.
You will partner with engineering and product teams to translate SOX testing methodologies into scalable AI-assisted workflows. This involves co-developing AI agents, refining prompts, and evaluating agent performance against control testing requirements.
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The manager will lead global commercial and operational initiatives to accelerate Private AI growth by establishing governance and operating rhythms. They will also analyze sales pipelines, prioritize strategic accounts, and synthesize complex data into actionable recommendations for senior leadership.
The Director of Data Science & AI will lead a team to develop scalable data solutions, integrate AI into business workflows, and drive data-informed decision-making. This role involves hands-on technical leadership, managing the data science roadmap, and collaborating cross-functionally to ship production-grade AI products.
You will leverage AI tools to build and architect software features, design systems, and service layers for various client projects. Additionally, you will consult directly with clients, perform codebase audits, and coach client developers on industry best practices.
Mobile AI Product Testers (Polish)
Lifted, an Upwork Company™
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Full Time
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2 Days Ago
Lifted, an Upwork Company™
Participants will use a Google Pixel device as their primary phone to interact with various apps and generate notifications. They are required to complete daily notification sorting workflows and submit short feedback forms.
Design and maintain enterprise AI platform capabilities, including LLM infrastructure, RAG pipelines, and reusable AI harnesses for testing and evaluation. Implement observability, monitoring, and automated workflows to ensure scalable, secure, and high-performance AI application deployment.
You will be responsible for developing and integrating applications with Large Language Models and enterprise services using front-end and server-side technologies. The role involves collaborating with cross-functional teams to design scalable APIs and implementing DevOps practices to optimize AI applications.
The engineer will design, build, and deploy enterprise software and AI-enabled applications while partnering with business stakeholders to solve complex problems. They are responsible for the full lifecycle of up to three applications, including architecture, development, testing, deployment, and ongoing operational maintenance.
The role involves architecting AI-first software solutions by translating business requirements into testable specifications and overseeing AI-assisted development workflows. The developer will also ensure code quality, security, and performance while mentoring team members and maintaining technical documentation.
You will architect and build end-to-end Generative AI applications, including document intelligence and RAG pipelines, on Google Cloud. Additionally, you will collaborate with clients to translate business needs into scalable, high-performance AI architectures while applying MLOps best practices.
Define and lead the architecture, strategy, and implementation of next-generation AI solutions to drive enterprise transformation. Collaborate across engineering, data, and leadership teams to establish AI roadmaps, governance standards, and scalable platforms.
Design, build, and maintain scalable data pipelines and infrastructure to support AI features and research analytics. Partner with cross-functional teams to implement robust evaluation systems and ensure high data quality across the production lifecycle.
The role involves building and maintaining agentic AI systems, MCP servers, and intent evaluation workflows. You will also integrate LLM APIs into production environments and develop frameworks to validate model performance.
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The engineer will build and maintain MCP servers, tool definitions, and context management capabilities while integrating LLMs into production environments. They are also responsible for designing intent evaluation workflows and developing frameworks to validate model quality and performance.
AI Evaluation & Annotation Reviewer (L3 - Advanced Level) - Italian (Canada)
Volga Partners
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Full Time
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3 Days Ago
Volga Partners
The Technical Support Engineer serves as the primary point of contact for Clinical AI products, providing expert troubleshooting and incident resolution for healthcare IT systems. This role involves collaborating with cross-functional teams to maintain service quality, manage support queues, and deliver technical training to customers.
Design and build LLM-powered features and AI agent pipelines from prompt to production. Optimize RAG systems and implement agentic workflows for document and email processing.
You will co-direct the research program by shaping scientific vision and developing reinforcement learning feedback loops to bridge wet and dry lab experiments. Additionally, you will perform hands-on engineering to architect model training infrastructure and debug training loops.
Senior AI Engineer, Conversational AI & Agentic Systems - Voice Required
Blooming Health
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Full Time
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3 Days Ago
Blooming Health
Design and build real-time conversational voice AI systems and orchestration layers for healthcare applications. Develop and maintain workflows involving speech-to-text, LLM reasoning, and tool calling while ensuring production-grade software quality.
You will utilize generative art tools and the Adobe Suite to design intuitive UI elements, game layouts, and wireframes while maintaining brand consistency. Additionally, you will collaborate with art and development teams to integrate AI-generated assets and explore new image and video generation models.
Design, develop, and maintain custom full-stack applications with a focus on AI and GenAI integration. Collaborate with data scientists to build, integrate, and deploy machine learning models and APIs within agile engineering teams.
You will lead threat research and detection engineering efforts, focusing on enhancing AI security and developing new detection capabilities. This involves investigating multidomain threat vectors and creating rigorous protection rules for the Elastic Search AI Platform.
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You will manage the marketing production engine by deploying AI agents and automated workflows to scale content distribution. Additionally, you will oversee the content calendar, coordinate video production, and manage performance reporting to drive qualified leads.
Develop, analyze, and optimize Java applications using Spring Boot while maintaining APIs and microservices. Improve code quality and reduce technical debt by utilizing AI tools and contributing to CI/CD pipelines.
The Cloud Architect will design and optimize AI-ready cloud environments while integrating AI tools into existing business applications. They are also responsible for managing model deployment, ensuring security and governance compliance, and implementing cost-efficiency strategies.
You will define the vision and roadmap for AI-native product experiences while working closely with AI engineers to build innovative financial solutions. You are expected to prototype rapidly and balance experimentation speed with the regulatory rigor required in the fintech industry.
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