The AI Engineer will integrate Generative AI models and LLMs into web applications using efficient API design and scalable microservices. They will also manage cloud infrastructure, maintain data pipelines, and implement CI/CD processes to ensure high-performing AI deployments.
Remote Artificial Intelligence Jobs (6,191)
Search = ai
Job category = Software Development
The AI Software QA Engineer is responsible for testing, validating, and ensuring the quality of AI-enabled systems and backend APIs. They will design and execute automated test cases while collaborating with developers and AI engineers in an agile environment.
Architect and build full-stack, enterprise-grade platforms using modular agentic workflow patterns. Design and implement intelligent workflows while ensuring system security, scalability, and seamless enterprise integration.
You will spearhead the development of innovative AI-driven solutions and deploy scalable products leveraging LLMs to support the payment orchestration platform. Additionally, you will design and optimize prompts while collaborating with cross-functional teams to integrate AI features into existing payment workflows.
Business Development Manager - SAP & AI Ecosystem (m/w/d)
Vicoland
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Full Time
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6 Weeks Ago
Vicoland
You will drive business development by positioning the Vicoland model as a modern alternative to traditional consulting and system integrators. This involves managing the full sales cycle, building client relationships, and collaborating with Vico Leads to ensure successful project delivery.
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You will own the quality strategy for the Wealth Management business line, defining and executing test plans across microservices and UI. You will drive automation, lead performance testing, and champion shift-left practices to ensure high-quality software delivery.
You will own features end-to-end, including scoping, backend and frontend development, and deployment. You will also participate in code reviews, technical discussions, and infrastructure management using AI-assisted workflows.
You will identify operational inefficiencies and build AI-powered workflows to automate repetitive tasks across sales, marketing, and product teams. You will also consolidate data from various tools into centralized systems to improve business structure and reporting.
Design and build AI-powered automations to improve business efficiency across GTM and other teams. Map complex business processes and create scalable, reliable workflows using tools like n8n and AI models.
You will design and operate production-grade model serving infrastructure to support scalable, low-latency AI applications. This role involves managing the full lifecycle of ML systems, including deployment pipelines, GPU optimization, and system observability.
You will design and evolve advanced search and data systems by blending traditional lexical search with modern AI-driven approaches like vector search and RAG. You will also collaborate with cross-functional teams to build scalable data pipelines and maintain high-performance search capabilities for compliance needs.
You will lead technical strategy and architecture for the platform, focusing on high-performance systems and AI integration. You will also drive organizational growth through mentorship, code reviews, and solving complex distributed systems challenges.
Deliver high-impact live sessions on Agentic AI and Machine Learning while providing 1:1 mentorship and career guidance to learners. Manage end-to-end curriculum development, including assignments, projects, and evaluation frameworks to ensure high-quality learning outcomes.
The AI Engineer will integrate Generative AI models and Large Language Models into web applications through efficient API design and microservices. They are also responsible for building robust back-end systems, maintaining data pipelines, and managing scalable cloud infrastructure.
AI Benchmark Engineer | Native Language Specialist - Chinese Mandarin - Remote
LILT (Production)
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Full Time
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6 Weeks Ago
LILT (Production)
Design, build, and validate rigorous multilingual benchmarks for large language models within terminal environments. Perform quality assurance and calibrate task difficulty through a multi-layer review process.
The AI Engineering Team Lead will oversee the delivery of strategic AI initiatives and manage cross-functional project teams. They are responsible for translating business priorities into technical roadmaps while mentoring engineers and ensuring high-quality, scalable AI solutions.
Binance Accelerator Program - Applied AI Application Engineer
Binance
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Full Time
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6 Weeks Ago
Binance
You will design and develop AI agent workflows and LLM-powered application components while collaborating with engineers on production systems. You will also be responsible for defining evaluation metrics, running benchmarks, and contributing to backend services and APIs.
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Curate 6-8 essential AI stories daily by filtering news from various technical sources. Write concise, high-quality summaries that respect the time of over a million newsletter subscribers.
AI Benchmark Engineer | Native Language Specialist - Hindi - Remote
LILT (Production)
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Full Time
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6 Weeks Ago
LILT (Production)
Design, build, and validate rigorous multilingual benchmarks for large language models within terminal environments. Perform quality assurance through human review and automated checks to ensure benchmark integrity and fairness.
Design, build, and scale production-grade AI Agent solutions for enterprise back-office workflows. Collaborate with cross-functional teams to translate business requirements into robust, automated AI systems.
Design, build, and scale production-grade AI Agent solutions for enterprise back-office workflows. Collaborate with cross-functional teams to translate business requirements into robust, automated AI systems.
Haryanvi Dialect Specialist - Freelance AI Trainer Project
Invisible Agency
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Full Time
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6 Weeks Ago
Invisible Agency
You will converse with AI models to verify factual accuracy and logical soundness while documenting failure modes. Additionally, you will suggest improvements to prompt engineering and evaluation metrics to enhance model reasoning.
The Senior Solutions Principal will lead presales efforts to shape and sell Data & AI professional services by consulting with clients and designing pragmatic improvement roadmaps. They will collaborate with account teams and technical SMEs to translate business objectives into scoped Statements of Work and high-value data architectures.
AI Visuals Creator Contributors (Images & Video for Knowledge)
Maxibook OÜ
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Full Time
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6 Weeks Ago
Maxibook OÜ
Create high-quality AI-generated images, diagrams, and short explanatory videos to translate complex scientific concepts into engaging learning materials. Collaborate with founders and AI engineers to align visual content with knowledge maps and adaptive learning systems.
Scientific Language & AI Adaptation Contributor (Korean / Japanese / Arabic)
Maxibook OÜ
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Full Time
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6 Weeks Ago
Maxibook OÜ
Collaborate with AI tools to adapt English scientific and educational content into Korean, Japanese, or Arabic while ensuring conceptual accuracy. Validate AI-generated outputs to ensure they are natural, credible, and appropriate for academic contexts.
Drive technical sales and solution design through demos, proof of concepts, and architecture workshops. Collaborate with engineering teams to resolve technical blockers and accelerate customer adoption of Microsoft cloud data platforms.
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You will build and maintain intelligent data pipelines to support machine learning workflows and analytics. Additionally, you will develop predictive models and create visualization tools to provide actionable insights for engineering processes.
Design and build AI agent workflows and LLM-powered systems to address real business use cases. Collaborate with cross-functional teams to integrate tools, improve agent reliability, and define reusable engineering patterns for production.
The researcher will develop and prototype novel AI/ML applications using large-scale clinical data to solve complex healthcare problems. They will collaborate cross-functionally with clinicians and data scientists to translate research into real-world solutions.
The Senior Service Engineer will partner with developers and program managers to design, operate, and improve large-scale computer-based services. They are responsible for translating technical requirements into service architecture and prioritizing live site requirements.
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