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.
Remote AI Engineer Jobs (2,818)
Search = AI Engineer
Build and ship backend microservices integrating AI agents and LLM-powered features for a healthcare platform. Design orchestration layers, MCP servers, and evaluation frameworks to ensure the reliability and safety of AI systems.
Develop end-to-end Data and AI features for a SaaS platform, from prototyping to production integration. Create intelligent solutions for demand forecasting, menu optimization, and personalized guest communication using LLMs and recommendation systems.
Integrate cutting-edge Generative AI technologies into the Cribl Product suite to solve customer problems. Prototype and productionize AI-based features across backend and frontend surfaces while staying current with AI trends.
Develop and optimize AI solutions and data pipelines to support legal practice and enterprise use cases. Collaborate with stakeholders to automate manual processes and implement machine learning models in production environments.
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Own the full product lifecycle from discovery and design to production and metric tracking for consumer platforms. Utilize AI tooling to accelerate the build loop while maintaining high quality and security standards.
Build and own the end-to-end agent stack for the ClickStack observability platform to automate incident investigation and root cause analysis. Develop reusable skills, MCP servers, and SDKs to enhance developer experience and AI workload performance.
Build and own the end-to-end agent stack for the ClickStack observability platform to automate incident investigation and root cause analysis. Develop reusable skills, MCP servers, and SDKs to enhance developer experience and AI workload performance.
Build and own the agentic layer for the ClickStack observability platform to automate incident investigation and root cause analysis. Develop reusable skills, MCP servers, and SDKs to enhance developer experience and AI workload performance.
Senior Machine Learning Operations Engineer II (AI Native)
Life360
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Full Time
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9 Weeks Ago
Life360
Design and scale automated CI/CD and continuous training pipelines to reliably deploy and monitor machine learning models. Collaborate with cross-functional teams to optimize cloud-based ML infrastructure and ensure robust data lineage and governance.
Develop and scale AI core platform infrastructure, focusing on reliability, observability, and generative AI architectures. Collaborate with stakeholders to design technical roadmaps and mentor junior engineers through code reviews and coaching.
The AI Security Engineer is responsible for designing and implementing security controls across the AI/ML lifecycle to reduce risks like prompt injection and data poisoning. This includes establishing AI governance, conducting red teaming, and integrating secure MLSecOps controls into delivery pipelines.
Lead the architecture and evolution of the Microsoft Fabric platform to create a trusted source of truth for business metrics. Build production-grade data pipelines and implement AI-driven automation to enhance reporting and business insights.
Lead AI Software Engineer – US Remote
Goldstone Partners, Inc.
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Full Time
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9 Weeks Ago
Goldstone Partners, Inc.
Lead the design and delivery of AI/ML solutions, including RAG pipelines and LLM fine-tuning, to improve clinical outcomes on the SmartCare platform. Manage MLOps infrastructure, ensure HIPAA compliance, and mentor engineers and data scientists on the team.
The role involves partnering with federal sales teams to design and demonstrate AI solutions that align with agency missions and security standards. It requires bridging the gap between business objectives and technical implementations to drive AI adoption across federal agencies.
Evaluate, configure, and deploy AI-powered tools to enhance operational efficiency across various business teams. You will bridge the gap between off-the-shelf AI products and practical workflows while ensuring security and compliance in a healthcare environment.
Evaluate, configure, and deploy AI-powered tools to enhance operational efficiency across various business teams. Collaborate with cross-functional stakeholders to identify high-leverage AI opportunities and ensure secure, compliant implementation in a healthcare environment.
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Drive the development of agentic and MCP-based tooling to accelerate R&D workflows and increase autonomous throughput. Ship production code weekly while training and leveling up the engineering team's AI fluency and prompt engineering practices.
Design and maintain AWS cloud infrastructure using Infrastructure-as-Code and automation to improve deployment speed and reliability. Leverage AI technologies to automate infrastructure management, security processes, and internal operational workflows.
Design and optimize AI-driven automations and agentic architectures using Workato to power enterprise business operations. Build and manage RAG pipelines and integrate core platforms like Salesforce, NetSuite, and Snowflake to reduce manual work.
Lead governance, risk, and compliance initiatives for internal AI adoption and customer-facing AI products. Partner with engineering teams to build scalable AI guardrails and automate GRC programs using agentic AI.
Design and build scalable agentic workflows and AI systems to improve operational efficiency for loan origination and servicing platforms. Contribute to the Atlas AI collaboration platform by authoring reusable skills and establishing reliability standards for AI adoption.
Staff AI Agent Engineer – Moveworks | Customer Deployment
ServiceNow
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Full Time
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9 Weeks Ago
ServiceNow
The role involves designing and deploying high-impact AI Agent solutions on the Moveworks ServiceNow platform to solve complex customer business challenges. You will act as a technical bridge between customers, product management, and engineering to drive product adoption and evolution.
Senior AI Agent Engineer – Moveworks | Customer Deployment
ServiceNow
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Full Time
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9 Weeks Ago
ServiceNow
The role involves designing and deploying high-impact AI Agent solutions on the Moveworks ServiceNow platform to solve complex customer business challenges. You will act as a technical bridge between customers, product management, and engineering to drive product adoption and evolution.
Drive generative and agentic AI initiatives from ideation to deployment, focusing on text generation, classification, and semantic search. Integrate AI agents and LLMs into the platform while optimizing for scalability, security, and efficiency.
Senior AI Agent Engineer – Moveworks | Customer Deployment
ServiceNow
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Full Time
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9 Weeks Ago
ServiceNow
The role involves designing and deploying high-impact AI Agent solutions on the Moveworks ServiceNow platform to solve complex customer business challenges. It requires full-stack ownership of the delivery lifecycle and collaborating with product teams to influence the platform's evolution based on customer feedback.
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The AI Platform Engineer is responsible for deploying, managing, and optimizing the OCI infrastructure that supports AI agents and enterprise workflows. This includes managing CI/CD pipelines, monitoring platform health, and ensuring secure environment configurations.
AI Solutions Engineer (Agency Operations)
Foundry for Good
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Full Time
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9 Weeks Ago
Foundry for Good
Lead the development of scalable, production-ready AI agents to optimize agency operations across various business functions. Partner with subject matter experts to design workflows and coach non-technical team members on AI tool adoption.
Design and build scalable, secure full-stack systems using Next.js and Supabase while integrating AI-assisted development tools to increase velocity. Lead the implementation of database-centric logic and ensure high security standards across the cybersecurity platform.
Lead the design and deployment of AI-powered systems for internal productivity and customer-facing products. Establish technical standards for AI architecture, agent-based systems, and RAG implementation across the organization.
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