Deploy production-ready AI agents for strategic customers by integrating voice AI with CRMs and telephony systems. Bridge the gap between Sales and Engineering by converting proof-of-concept pilots into scalable platform capabilities.
Remote AI Engineer Jobs (2,146)
Search = AI Engineer
Design and implement semantic architectures and ontologies to enable AI agents to reason and retrieve enterprise knowledge effectively. Build knowledge graphs and context pipelines to transform fragmented data into machine-interpretable context for high-performance AI systems.
Senior AI Engineer, NLP & Training Data - 11316
Coupa Software, Inc.
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Full Time
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Yesterday
Coupa Software, Inc.
Design and implement training data generation pipelines and labeling workflows to produce high-quality datasets for model development. Collaborate with domain experts to validate data quality and analyze model results to identify training gaps.
Design, optimize, and deploy machine learning models for resource-constrained edge devices and embedded systems. Develop cross-platform inference runtimes and hybrid edge-cloud architectures while ensuring on-device privacy and security.
Design, optimize, and deploy machine learning models for resource-constrained edge devices and embedded systems. Implement model compression techniques and build cross-platform inference runtimes to ensure efficiency in latency, energy, and memory.
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Design and deploy optimized machine learning models for resource-constrained edge devices and embedded systems. Develop cross-platform inference runtimes and hybrid edge-cloud architectures while maintaining technical documentation.
Design, optimize, and deploy machine learning models for resource-constrained edge devices and embedded systems. Implement model compression techniques and build cross-platform inference runtimes to ensure efficiency in latency, energy, and memory.
Act as a technical specialist supporting OEM partners with switch ASIC integration and system-level composition. Serve as the primary link between OEM engineering teams and internal NVIDIA ASIC and SDK groups to ensure smooth deployment.
Design and scale automated systems for compliance, security, and audit readiness to replace manual evidence collection. Build integrations between systems of record and implement agentic workflows to streamline data access for stakeholders.
Build infrastructure and tooling to accelerate engineering productivity using AI agents and MCP integrations. Own the agentic development environment and create documentation to improve AI-assisted software development.
Build the application-layer foundations and shared architecture for AI integration across the Roofr platform. Design scalable integrations with third-party APIs and maintain rigorous evaluation frameworks for AI system accuracy.
Lead the technical lifecycle of Airbnb's Kubernetes-based GPU platform to support AI compute features. Drive reliability, cost efficiency, and scalability while coaching a distributed team of engineers.
Design and manage scalable data platforms for real-time and batch processing using AI-assisted development workflows. Own the full data lifecycle from ingestion via Kafka and Kinesis to delivering modeled datasets in a Databricks Lakehouse.
Design and operate AI-powered services and internal tools to improve developer and operator productivity. Partner with cross-functional teams to implement secure, scalable LLM integrations and track success via productivity metrics.
Design and operate scalable backend services and APIs to integrate LLMs and AI workflows into production systems. Collaborate with cross-functional teams to build AI-native products and maintain cloud-native infrastructure on AWS.
Mid-Level AI Engineer
AspenView Technology Partners
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Full Time
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2 Days Ago
AspenView Technology Partners
The role involves co-creating Python applications with LLMs and maturing an in-house QA testing framework. The engineer will optimize prompts, evaluate AI outputs, and maintain internal scripts to ensure scalable and reliable AI workflows.
AI Engineer (m/w/d) - LLM Apps, RAG & Argentic Systems (german speaking)
sandan AI
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Full Time
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2 Days Ago
sandan AI
Develop and manage LLM pipelines, agent architectures, and evaluation frameworks for marketing use cases. Transition notebook explorations into production-ready pipelines and collaborate with full-stack engineers for platform integration.
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Build and own the AI-driven video editing interface, including chat-driven controls and streaming UI for AI plan previews. Develop end-to-end features from frontend components to Node.js services and AWS persistence layers.
Develop and maintain the core software components of the AI Context Layer to connect enterprise data to LLMs. This includes building AI Data Lakehouse services, automating CI/CD pipelines, and implementing RAG patterns for secure data retrieval.
Direct AI coding tools to produce production-quality code across the full stack while reviewing and validating all outputs. Act as the final line of defense for production stability and mentor junior engineers on AI tool fluency.
Lead technical discovery and design architectures for large-scale AI, HPC, and data-intensive workloads. Partner with customers to execute proofs of concept and collaborate with internal product teams to influence the roadmap.
Build and extend agentic systems including tools, sub-agents, and prompt iterations for production products. Own the end-to-end evaluation framework, including golden datasets and LLM-as-judge pipelines to ensure reliability.
Deploy production AI agents for strategic customers, moving them from proof-of-concept to live use within 90 days. Partner with Sales, Product, and Engineering to translate field insights into scalable platform capabilities.
AI Engineer - ICAM
General Dynamics Information Technology
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Full Time
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3 Days Ago
General Dynamics Information Technology
Design and implement AI and machine learning solutions to enhance Identity, Credential, and Access Management (ICAM) capabilities. Develop predictive analytics, anomaly detection, and Generative AI tools to improve operational efficiency and cybersecurity within the Department of War enterprise.
Design and implement sophisticated agentic workflows and multi-node AI agents to handle complex legal and clinical reasoning. Translate legal complexity into technical architecture while owning the engineering standards and culture as a founding hire.
Design, optimize, and deploy machine learning models for resource-constrained edge devices such as mobile platforms and embedded systems. Implement model compression techniques and build cross-platform inference runtimes to ensure efficiency in latency, energy, and memory.
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Responsible for enabling and scaling enterprise AI capabilities across the ServiceNow platform, specifically focusing on Now Assist and Moveworks integration. The role ensures AI solutions are secure, governed, and reusable across HRSD, ITSM, and ITOM domains.
Sr. Managed Services Engineer - AI & Copilot
SHI International Corp.
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Full Time
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4 Days Ago
SHI International Corp.
Design, build, and support AI and Copilot solutions for customers while managing platform infrastructures and collaboration tools. Lead service improvement initiatives and serve as a technical escalation point for complex incidents.
Design and build integrations between AI agents and core business systems like Salesforce and NetSuite to automate corporate operations. Architect advanced RAG pipelines and agentic workflows while prototyping AI-powered internal tools in a high-velocity environment.
Design and maintain production-grade AI systems, focusing on agentic workflows and retrieval-augmented generation (RAG). Develop backend services and evaluation systems to ensure the reliability, observability, and scalability of AI-powered features.
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