Design and operate agentic AI products to automate healthcare claim audits and SIU investigations. Build serverless architectures on AWS using Bedrock AgentCore and orchestrate multi-agent plans with Strands.
Remote AI Engineer Jobs (2,147)
Search = AI Engineer
Own the complete product lifecycle from discovery and ideation to production deployment of AI-native systems. Design and build RAG pipelines, agentic workflows, and full-stack applications using Python and Next.js.
Design, develop, and maintain real-time conversational AI systems to power an automated patient call center. Lead the optimization of voice pipelines, including VAD tuning and latency management, while mentoring junior engineers.
Working Student AI Data/Machine Learning Engineer
Goodgame Studios
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Full Time
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1 Week Ago
Goodgame Studios
Build AI-driven gameplay analytics and intelligent data workflows to analyze player behavior and support product decisions. Develop AI-assisted dashboards, monitoring systems, and personalization tools for the Empire franchise.
Architect and build the backend infrastructure for the Traia.io AI Agent runtime, focusing on multi-agent orchestration and autonomous workflows. Develop secure deployment architectures, scalable APIs, and integration systems for tool execution and memory.
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Manage and optimize high-availability Oracle and PostgreSQL environments while leading the migration to GCP. Integrate Generative AI capabilities to enhance fraud detection and automate database workflows for credit card operations.
Design and implement AI/GenAI features and agent-based workflows using frameworks like LangChain and Azure AI Foundry. Develop full-stack applications and APIs while collaborating with cross-functional teams to optimize AI models and pipelines.
Embed with strategic enterprise accounts to identify operational bottlenecks and build custom AI agent solutions using Zip's infrastructure. Manage the end-to-end customer relationship and feed structured learnings back to the product team to improve platform repeatability.
Embed with strategic enterprise accounts to identify operational bottlenecks and build custom AI agent solutions using Zip's infrastructure. Manage the end-to-end customer relationship and feed structured learnings back to the product team to improve platform repeatability.
Design and develop compiler optimizations to improve inference efficiency across CPUs, GPUs, and ML accelerators. Collaborate with cross-functional teams to implement core technologies for end-to-end performance on heterogeneous hardware platforms.
AI Software Development Engineer in Test (AI-SDET)
Newfold Digital
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Full Time
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1 Week Ago
Newfold Digital
Lead the adoption of AI-powered testing tools and frameworks within the QA Guild to modernize quality engineering. Design and maintain evaluation frameworks for LLM outputs, RAG architectures, and autonomous agent workflows.
Design, build, and deploy production-grade AI-enabled applications and retrieval workflows for federal clients. Develop evaluation frameworks and secure APIs to ensure AI outputs are explainable, auditable, and operationally reliable.
Senior Azure AI / MLOps Engineer
Computer Task Group, Inc
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Full Time
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2 Weeks Ago
Computer Task Group, Inc
The Senior Azure AI / MLOps Engineer will design and implement enterprise-scale Azure AI/ML platforms and build end-to-end MLOps pipelines. Responsibilities also include developing and deploying ML models with full lifecycle automation and ensuring security and compliance across AI/ML environments.
Design and maintain scalable cloud infrastructure and APIs to power internal employee experience and productivity products. Lead automation efforts using Infrastructure as Code and manage system reliability through observability and incident response.
Build production-quality tooling and LLM-powered systems to accelerate offensive security workflows and vulnerability discovery. Design orchestration layers to turn AI capabilities into reliable, repeatable security outcomes integrated into the watchTowr Platform.
Design and implement AI-powered search and retrieval experiences by combining LLMs with structured data and ranking signals. Own the end-to-end AI quality by building evaluation frameworks and integrating AI systems into backend services and product surfaces.
Lead the technical implementation of a generative AI roadmap by designing multi-agent systems and autonomous workflows. Build AI middleware to connect LLMs with enterprise data sources and mentor the team on LLM best practices.
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Build and optimize AI agents and automation workflows using platforms like Glean, Copilot, and AWS Bedrock. Integrate enterprise data sources and develop reusable APIs and microservices to support AI-driven use cases.
Lead the technical realization of a generative AI roadmap by designing multi-agent systems and autonomous workflows. Build AI middleware to connect LLMs with enterprise data sources and optimize model performance through fine-tuning and prompt engineering.
Design and implement automated validation frameworks and evaluation pipelines for agentic AI systems within a Databricks environment. Establish scalable quality practices, guardrails, and measurable trust thresholds to ensure AI reliability in mission-critical healthcare settings.
Ensure the stability and availability of production applications and blockchain infrastructure through incident management and disaster recovery. Utilize AI and LLMs to automate support workflows and conduct technical research on new blockchains and DApps.
Senior AI Full-Stack Staff Engineer (TypeScript/Node.js)
Talencore
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Full Time
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2 Weeks Ago
Talencore
Lead small engineering pods to design, build, and ship full-stack software and AI-enabled engineering practices. Write production code while managing architecture, technical quality, and mentoring engineers on AI-assisted development.
Gen AI Site Reliability Engineer (SRE) -Senior Associate-AI Managed Services - operate
PwC
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Full Time
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2 Weeks Ago
PwC
Operate and improve the reliability of AI platforms by managing monitoring, alerting, and incident response. Focus on restoring services, performing root cause analysis, and automating routine support activities to enhance operational stability.
Lead small engineering pods in designing and shipping full-stack software while writing production code. Drive the adoption of AI-assisted development practices and partner with stakeholders to deliver scalable insurance platform solutions.
Lead adversarial red team assessments across the AI ecosystem to discover and mitigate vulnerabilities. Develop automated security tooling and collaborate with cross-functional teams to establish AI security standards and policies.
Full Stack Software Engineer (.NET, Blazor, AI)
The Descartes
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Full Time
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2 Weeks Ago
The Descartes
Design and develop scalable full-stack applications using .NET 8 and Blazor for the logistics and supply chain domain. Integrate agentic AI capabilities and cloud-native Azure services to modernize enterprise systems.
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Lead a small engineering squad to design and deploy enterprise-grade full-stack applications using an AI-first development model. Responsible for writing production code, establishing coding standards, and integrating AI coding agents to accelerate delivery.
Act as the primary technical expert for Securiti AI solutions, guiding customers from needs assessment to solution design. Lead technical discussions and deliver customized demonstrations and proof-of-concepts to showcase value.
Lead the technical architecture of the agent-readable Shop Builder platform, defining APIs and interface contracts for developers and AI agents. Design and deliver critical tooling including MCP servers, CLIs, and evaluation harnesses to enable end-to-end storefront operation.
Design and deploy enterprise-grade software and a custom ERP platform using AI-assisted development tools. Translate complex business processes into scalable applications and automate internal workflows to improve operational efficiency.
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