Design, build, and maintain scalable data products and pipelines to support R&D, analytics, and scientific workflows. Collaborate with cross-functional teams to translate research needs into robust, compliant, and reproducible data assets.
Remote AI Engineer Jobs (2,149)
Search = AI Engineer
Senior AI Full Stack Engineer
AmeriSave Mortgage Corp.
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Full Time
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8 Weeks Ago
AmeriSave Mortgage Corp.
Design, develop, and maintain scalable full-stack web applications while integrating AI-powered solutions like LLMs and RAG pipelines. Collaborate with cross-functional teams to implement intelligent automation and ensure high performance in a microservice environment.
You will define product features and specifications based on market research and customer feedback while collaborating with cross-functional teams. Additionally, you will analyze market trends to identify opportunities for product enhancements and drive innovation using Generative AI.
AI / ML Engineer – Oracle Fusion & Enterprise Data
Seamless Specialized Services
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Full Time
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8 Weeks Ago
Seamless Specialized Services
Design, develop, and deploy AI/ML models using enterprise data from Oracle Fusion Cloud and Oracle Databases. Collaborate with business stakeholders to translate business problems into technical AI solutions while ensuring data governance and security.
The role involves building and scaling a global team of Customer Engineers to drive AI infrastructure adoption and technical discovery. You will partner with cross-functional teams to translate complex customer requirements into validated, scalable edge AI architectures.
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The role involves cross-product building, creating demos for developers, and automating internal workflows using AI. The engineer will work autonomously across various projects to deliver impactful results.
Act as the primary technical contact for Securiti AI solutions during the sales cycle and lead technical discussions. Design and present product demonstrations and proof-of-concepts while collaborating with various teams to ensure smooth transitions.
Azure AI / Copilot Engineer (m/w/d) – Consulting Crew
WorkSimple
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Full Time
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9 Weeks Ago
WorkSimple
The role involves developing, integrating, and operating Azure AI and Copilot solutions focused on improving real-world processes using a pragmatic, user-centric approach within the Microsoft ecosystem. Key tasks include implementing solutions based on Azure OpenAI, Cognitive Services, and Copilot Studio, and actively shaping the new department's structure.
The role involves architecting, implementing, and shipping data-driven product features, applying appropriate technology from simple heuristics to advanced AI, always prioritizing customer problems. Responsibilities also include building maintainable and scalable production systems, operating end-to-end from opportunity identification to feature productionalization.
The engineer will identify high-leverage marketing workflows and build AI-powered agents, automations, and tools tailored to team processes, while also designing, building, and deploying custom AI agents integrating various platforms.
The Senior Software Engineer will lead the technical evolution of the game platform, making architectural decisions that balance immediate delivery with long-term scalability and maintainability. Responsibilities include taking validated prototypes to production, designing shared game infrastructure, and owning/refining engineering processes.
Senior AI Python Software Engineer (Perm, Canada, Remote + Travel)
Nearform
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Full Time
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10 Weeks Ago
Nearform
The main task involves designing and building applications using Python, while also supporting component design, development, maintenance, and defining structured practices for building and deployment. Responsibilities extend to designing data storage solutions, optimizing application performance, gathering user feedback, and assisting with client requirement analysis.
The Senior Sales Engineer will act as the primary technical contact for Securiti AI solutions, leading discovery to translate customer risks and goals into practical solution designs. This involves designing and delivering tailored demonstrations and hands-on proof-of-concepts to showcase the value of data protection and AI Trust solutions.
The Senior Sales Engineer will act as the primary technical contact for Securiti AI solutions during the sales cycle, leading discovery to translate customer risks and goals into practical solution designs. This involves designing and delivering tailored demonstrations and hands-on proof-of-concepts to showcase the value of data protection, AI Trust, DSPM, and compliance solutions.
The Senior Sales Engineer will act as the primary technical contact for Securiti AI solutions during the sales cycle, leading discovery to translate customer risks and goals into practical solution designs. This involves designing and delivering tailored demonstrations and hands-on proof-of-concepts to showcase the value of data/AI security offerings.
The Senior Sales Engineer will act as the primary technical contact for Securiti AI solutions during the sales cycle, leading discovery to translate customer risks and goals into practical solution designs. This involves designing and delivering tailored demonstrations and hands-on proof-of-concepts to showcase the value of data/AI security solutions.
The Senior Sales Engineer will serve as the primary technical expert for Securiti AI and Veeam solutions during the pre-sales cycle, translating customer risks and goals into practical solution designs. This involves leading technical conversations on AI Trust, DSPM, and compliance, while designing and delivering tailored demos and proof-of-concepts.
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The Senior Sales Engineer will serve as the primary technical expert for Securiti AI and Veeam solutions during the pre-sales cycle, translating customer risks and goals into practical solution designs. This involves leading discovery, designing tailored demos, and executing hands-on proof-of-concepts to demonstrate product value.
The Senior Sales Engineer will serve as the primary technical expert for Securiti AI and Veeam solutions during the pre-sales cycle, translating customer risks and goals into practical solution designs. This involves leading technical conversations, designing and delivering tailored demonstrations, and executing hands-on proof-of-concepts to showcase product value.
The role primarily involves leading and training AI agents to develop core products, constituting 75% of the time, while the remaining 25% is dedicated to precise backend engineering and fine-tuning for secure payment systems. The engineer will act as a conductor in an AI-driven development process, focusing on strategy over routine coding.
This technical deployment role focuses on closing the gap between solution acquisition and value realization by operating within strategic customer accounts. Responsibilities include translating operational requirements into production-grade agentic AI experiences with direct accountability for measurable business outcomes.
The Staff Software Engineer will design, build, and own microservices and APIs end-to-end, from data model to deployment pipeline, while architecting and maintaining CI/CD pipelines and infrastructure-as-code across cloud environments. They will also collaborate closely with the AI team to integrate ML models and LLM-powered features into production services.
Senior Platform Engineer (Cloud and AI Adoption) - Remote
TD SYNNEX
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Full Time
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10 Weeks Ago
TD SYNNEX
The Senior Platform Engineer will architect foundational multi-cloud infrastructure enabling next-generation AI-driven applications, serving as the critical bridge between Developers, Business, and Operations. Responsibilities include designing and deploying scalable multi-cloud architectures using IaC, leading Terraform module creation, managing Ansible for zero-downtime deployments, and enabling AI adoption via cognitive services.
Engineers will design, develop, and implement robust, scalable, and cloud-native data and AI solutions contributing directly to the company's mission. They will write clean, well-tested code, participate in reviews, and contribute across the stack including backend services and AI features.
The engineer will design, build, and deploy AI-driven customer engagement solutions, focusing on designing, prototyping, and operationalizing AI agents that integrate with enterprise systems for scalable self-service experiences. Responsibilities span AI agent design, full lifecycle ownership, system integration with enterprise platforms, and full-stack solution development supporting agent interactions.
Senior Software Engineer - Data & AI Security
Orca Security
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Full Time
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11 Weeks Ago
Orca Security
The role involves designing, implementing, and maintaining scalable backend services for scanning and analyzing managed databases, object storage, and data assets across cloud providers. Responsibilities also include building infrastructure for detecting sensitive data, secrets, and keys, and mapping/assessing cloud AI services for security posture.
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This role is responsible for defining AI architecture standards, shipping production AI features, and establishing governance and evaluation frameworks across the SaaS platform. Essential functions include integrating LLM APIs, building RAG systems, optimizing performance, and advising leadership on AI build vs. buy decisions.
Senior AI Full Stack Engineer
AmeriSave Mortgage Corp.
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Full Time
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11 Weeks Ago
AmeriSave Mortgage Corp.
The role involves designing, developing, and maintaining scalable web applications using TypeScript, Java, and Node.js within a microservice architecture. Key duties also include building and deploying AI-powered applications utilizing LLMs, GenAI agents, and RAG pipelines, integrating these services using frameworks like LangChain or FastAPI.
The role involves designing, developing, and deploying machine learning and AI models to address complex business challenges using large datasets. Key tasks include building scalable data pipelines, implementing production-ready ML systems, and applying MLOps practices for lifecycle management.
This role involves owning the solution verification for multi-component products, leading test execution governance, and producing executive-level test reporting, including go/no-go recommendations. Key duties include leading cross-functional defect triage and certifying release readiness based on defined criteria, alongside verifying AI-enabled database experiences end-to-end.
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