You will own the infrastructure for provisioning, deploying, and managing AI agents at scale on AWS. This involves designing event-driven communication, ensuring system reliability, and building robust observability.
Remote AI Engineer Jobs (2,147)
Search = AI Engineer
The Staff Data Engineer will architect and evolve scalable data ingestion, transformation, and egress frameworks while enhancing CI/CD pipelines and developer velocity. They will also lead the integration of AI/LLM tools to improve system maintenance, debugging, and overall data platform security.
Design and build scalable AI-centric software systems to automate penetration testing and enhance threat intelligence. Lead technical discussions, mentor junior engineers, and drive product features from ideation to production.
Design, build, and deploy AI-powered applications by integrating large language models across frontend and backend layers. Collaborate with product teams to optimize AI system performance, latency, and cost while ensuring reliable production deployment.
Evaluate and analyze LLM performance while architecting and building inference and training pipelines. You will contribute to hands-on design, model training, and deployment strategies within a technical greenfield project.
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Design and build scalable, production-grade data platforms and pipelines to support AI and analytics use cases. Collaborate with stakeholders to ensure data quality and reliability while implementing healthcare interoperability standards.
You will define and execute the company's AI automation strategy by identifying business processes for optimization and designing AI-based solutions. Additionally, you will lead and mentor a team of developers to integrate these solutions into existing systems while ensuring scalability.
Design and implement end-to-end full-stack applications for a digital health platform using React and Node.js. Manage backend infrastructure, database optimization, and cloud deployment while ensuring high code quality and system scalability.
Senior Machine Learning Engineer (AI tools)
SmartRecruiters Inc
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Full Time
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6 Weeks Ago
SmartRecruiters Inc
You will architect and develop agentic workflows that integrate large language models and reasoning components to create adaptive conversational systems. Additionally, you will lead the end-to-end development of ML/NLP products, from ideation and model training to production deployment.
Lead strategic initiatives in AI personalization by developing and deploying large-scale machine learning models for search and recommendation interfaces. Collaborate with cross-functional teams to design experiments and establish rigorous, auditable AI development practices.
You will build and evolve shared AI platform infrastructure, including LLM proxy servers and observability tools, to support machine learning development across the company. You will also define standards for deploying, monitoring, and governing AI models to ensure reliability and scalability.
The GTM AI Engineer will design, build, and operationalize AI-enabled workflows and automation to improve sales efficiency and scalability. They are responsible for maintaining data integrations across the GTM stack and driving adoption through stakeholder training and change management.
You will own and extend the backend systems that power SqlDBM's AI capabilities, including AI-assisted data modeling and context-aware intelligence. You will also develop and maintain AI pipelines, API layers for enterprise integration, and Model Context Protocol servers.
The Applied AI Engineer will design, build, and deploy AI agents and automation solutions to streamline commercial and operational workflows. They will serve as a technical partner to business teams, translating operational needs into effective, scalable technical requirements.
Talent Database - Sr. AI Engineer - India Only
Acklen Avenue
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Full Time
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6 Weeks Ago
Acklen Avenue
The role involves joining a talent database to be matched with software development opportunities for various global clients. You will provide expert-level AI engineering services while maintaining a professional and agile development process.
Talent Database - Sr. AI Engineer - Philippines Only
Acklen Avenue
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Full Time
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6 Weeks Ago
Acklen Avenue
Join a talent network to be matched with software development opportunities based on your skills and experience. Maintain confidentiality while your profile is shared with companies seeking expert AI engineering talent.
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.
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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.
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.
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.
Staff Software Engineer - AI Website Builder - CANADA (Remote)
Luxury Presence
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Full Time
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6 Weeks Ago
Luxury Presence
You will contribute to key architectural decisions and lead the re-imagining of site generation and builder experiences. Additionally, you will collaborate with cross-functional teams to build cloud-native APIs and deliver AI-powered workflows.
Staff Software Engineer - AI Website Builder - US (Remote)
Luxury Presence
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Full Time
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6 Weeks Ago
Luxury Presence
You will contribute to architectural decisions and build cloud-native APIs and front-end experiences for an AI-first platform. You will collaborate with cross-functional teams to deliver AI-powered workflows and write scalable, testable code.
Senior AI Engineer / Product Engineer 82 APPLICANTS
Domus.Global
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Full Time
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6 Weeks Ago
Domus.Global
Design and develop core product functionalities while defining the technical architecture for robust conversational AI systems. Optimize performance, latency, and costs while actively participating in product decision-making and client requirements gathering.
You will build and scale the AI Agent platform to handle high-volume, real-time conversational workflows across multiple channels. This involves designing APIs, managing the full software lifecycle, and collaborating with cross-functional teams to improve system performance and reliability.
The Staff Software Engineer will design and build foundational AI infrastructure to support scalable, customer-facing AI capabilities across credit union software products. They will lead architectural strategy, mentor engineering teams, and ensure production-grade AI systems meet financial compliance and security standards.
Lead the design, development, and ownership of AI-powered internal platforms and systems with a focus on marketing. Embed AI capabilities into customer-facing products and operational workflows to drive measurable value and productivity.
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You will lead the design, development, and deployment of scalable machine learning models to enhance financial platform features like fraud detection and personalized recommendations. Additionally, you will collaborate with cross-functional teams to build robust ML infrastructure and mentor team members to elevate overall technical capabilities.
Lead the design, development, and deployment of scalable machine learning infrastructure and models to enhance financial platform features. Collaborate with cross-functional teams to implement personalized recommendations, fraud detection, and credit risk assessment solutions.
Lead the design, development, and ownership of AI-powered internal platforms and systems with a focus on marketing. Collaborate with cross-functional teams to embed AI capabilities into products and workflows to drive measurable business impact.
You will build high-performance infrastructure for enterprise AI, focusing on the 'Context Layer' to support autonomous agent workflows. Responsibilities include developing AI-ready data lakehouses, prototyping agentic architectures, and implementing robust CI/CD pipelines.
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