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Indicium AI is seeking an AI Engineer to design and deploy production-grade AI systems using LLMs, RAG pipelines, and agentic frameworks. The role focuses on building scalable, reliable AI applications and orchestration layers rather than model research.
About World Labs World Labs is a frontier AI research and product company advancing spatial intelligence, the next frontier beyond large language models. Co-founded by Dr. Fei-Fei Li, Justin Johnson and Ben Mildenhall,…
The Senior AI Engineer will design and build scalable AI platforms, evaluation frameworks, and developer tooling to support enterprise-grade AI applications. This role involves setting technical strategy, mentoring engineers, and ensuring the reliability and quality of AI systems across the organization.
The AI Project Manager leads end-to-end AI data projects, managing budgets, timelines, and quality for data collection and annotation services. The role involves coordinating cross-functional teams and external vendors to support machine learning model development.
Principal Machine Learning Engineer at Atlassian working on Rovo Chat, an AI-powered product. The role involves leading technical vision, building production ML systems, advancing agentic capabilities, and establishing quality standards for AI products.
Leads AI product development by designing scalable agentic systems, optimizing LLMs for production, and mentoring teams on MLOps best practices for digital assistants.
This DevOps/Platform Engineer role involves managing and scaling cloud infrastructure for a global SaaS product. The position focuses on AWS cloud management, infrastructure-as-code, and performance tuning to ensure secure and reliable system operations.
Designs and implements AI/ML solutions for healthcare operations, focusing on clinical, operational, and administrative workflows using advanced ML techniques like prompt engineering and RAG. Collaborates with cross-functional teams to ensure scalable, secure, and compliant AI systems while mentoring junior engineers.
Senior AI Engineer building AI agent solutions for risk management and payment processing at Airwallex, using Python, ML frameworks (PyTorch/JAX), and agentic frameworks like LangChain and LlamaIndex.
AI Engineer Consultant at Slalom designing and delivering ML/AI solutions (Computer Vision, NLP, GenAI/LLMs) for enterprise clients using Python and major cloud platforms (AWS, GCP, Azure).
Build and operate production agentic AI systems for an HR-focused platform, ensuring LLM-powered agents are observable, testable, and reliable using Python, RAG, Django, and full-stack tooling.
Designs and scales AI-native systems (LLMs, agentic workflows) as a senior architect, defining architecture standards and leading technical delivery for healthcare clients.
Imagine what you could do here! At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you…
Own and evolve on-device conversational AI for an industrial safety wearable, building dialog systems with NLU, SLM inference, and deterministic safety guardrails under strict latency, memory, and thermal constraints on edge hardware.
Lead the architecture and development of RAG systems combining LLMs with industrial knowledge sources to build troubleshooting assistants, using Python, PyTorch, Hugging Face, LangChain, and vector databases.
Build a secure, vendor-agnostic agent platform for identity verification workflows, integrating LLMs, orchestration, and safety controls in production.
Lead a team to design, build, and deploy AI/ML systems including LLMs, RAG, and agentic workflows, setting engineering standards and ensuring production-grade reliability and governance.
PLAY, GROW and WIN To be a part of Virtuos means to be a creator. At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly…
Lead Software Engineer on JPMorgan Chase's AIML Data Platforms team, designing and operating cloud-native infrastructure (AWS, Kubernetes, Terraform) that enables data scientists and ML engineers to train and deploy models at scale.
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