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Lead AI Engineer builds and deploys agentic AI systems, RAG pipelines, and ColBERTv2 architectures while optimizing models and ensuring compliance.
Lead AI engineering for an insurance platform, building LLM-driven audit and claims automation, scalable ML pipelines, and generative AI applications while ensuring compliance and performance.
Lead the fine-tuning and deployment of LLMs to power NPR’s audience personalization and metadata systems, ensuring ethical AI, factual accuracy, and scalable cloud pipelines.
Staff Applied Scientist at Apple builds and optimizes compact LLMs for Siri’s UI control, tool calling, and conversational features, focusing on mobile hardware constraints and post-training techniques.
Build and improve AI systems that power clinical products, including LLMs and agentic workflows, with end-to-end ownership of evaluation, deployment, and production debugging.
Principal AI Engineer (AI / .NET Core / React) At Mitratech, we’re a team of engineers passionate about building world-class products that empower Legal, Risk, Compliance, and HR professionals at Fortune 100 companies.…
Design and partition cutting-edge AI models (e.g., Transformers) for custom silicon, mapping them to heterogeneous ASICs before hardware tape-out and ensuring cycle-accurate performance.
Senior AI Engineer Remote — US only · Full-time Are you passionate about building AI products people actually use, serving millions of users? Do you want to help lead the AI engineering effort at this country's…
Build and deploy generative AI and agentic systems for a global gaming company, selecting LLMs, fine-tuning models, and driving production-grade AI solutions.
Principal Engineer explores cutting-edge AI models and agent frameworks to prototype cybersecurity capabilities, rapidly validating technical assumptions and de-risking adoption for classified environments.
Senior Data Engineer builds and optimizes Big Data pipelines and REST APIs using Java/Spring, Spark, and Hadoop, deploying via Docker/Kubernetes on AWS/Azure.
Lead a team building generative AI and deep learning models (NLP, computer vision) to solve business problems across claims, marketing, and other departments.
Design and automate the network infrastructure for an industrial AI cloud, managing InfiniBand, RoCE, firewalls, and Cisco gateways to support high-performance AI workloads.
Design and audit multimodal AI datasets to ensure accuracy and cultural relevance across images, videos, and audio for next-gen AI systems.
Senior engineer building AI features end-to-end—from prototype to production—across full stack, AI layers, and healthcare domain, using agentic tools like Claude Code and modern frameworks.
Build autonomous AI agents and data pipelines using LangChain/LangGraph or Google Vertex AI Agent Builder to automate analytics and decision-making at scale.
Principal ML Engineer builds and deploys GenAI features for business planning, integrating LLMs, prompt engineering, RAG, and agentic workflows into production systems using Python, MLOps, and cloud-native infra.
Build and scale core data platforms (storage, streaming, caching, indexing) that power Scale AI’s Generative AI Data Engine and RLHF systems for cutting-edge LLMs.
Develop and deploy AI/ML models for fusion research, optimizing workflows on HPC systems and integrating LLMs into engineering tools like CAD and simulation software.
Build and integrate AI/ML models (LLMs, RAG, NLP) into full-stack apps using React, Node.js, and AWS, ensuring trustworthy, scalable customer-experience assurance.
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