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Owns sensor and perception feasibility for robotics and Physical AI projects, evaluating hardware like XR headsets, depth cameras, and IMU rigs to meet sub-centimeter accuracy and hand-keypoint fidelity requirements.
The AI Engineer will design, develop, and deploy production-ready AI and machine learning solutions, focusing on LLMs, generative AI, and autonomous agent systems for healthcare clients. The role involves building scalable architectures and integrating AI models with existing APIs and data sources.
The Senior Gen AI Engineer will develop innovative prototypes and agentic workflows using Generative AI and LLMs to solve complex problems in the public administration sector. This role involves working within a research-focused institute to manage the full MLOps lifecycle for advanced AI models.
The Gen AI Engineer will work at a research institute to develop innovative Generative AI prototypes and agentic workflows, focusing on applications for the public administration sector. The role involves applying LLM orchestration and serving technologies to solve complex, real-world problems.
The AI Engineer will optimize and deploy machine learning models, including LLMs and vision models, across heterogeneous hardware platforms like CPUs, GPUs, and NPUs. The role focuses on improving inference performance through techniques such as quantization, model compression, and hardware-specific acceleration.
Build backend platforms for model evaluation tooling that integrates robotics, generative AI, and data analysis using Python, Kubernetes, and cloud-native infrastructure.
The Senior AI Engineer will design, build, and deploy Python-based AI and LLM applications while providing technical leadership and architecture guidance. The role involves developing REST APIs, optimizing data pipelines, and creating AI-powered analytics platforms.
Build and scale an AI-powered conversational investment research platform (Floyd) using LLMs (OpenAI, Google Gemini, Anthropic Claude) to automate complex workflows for pension fund analysts. Own end-to-end development, from agentic system design to production deployment, while collaborating closely with investment teams to refine and adopt AI tools.
Build full-stack components for AI pilots, including backend services, API integrations, and frontend implementations, contributing to JD Power's Power Agents library and working with Snowflake and AI frameworks like LangGraph.
Research and develop AI-driven autonomy for drones, integrating learning-based methods with classical robotics to deploy intelligent flight systems in real-world environments.
About Karbon Karbon is the global leader in AI-powered practice management software for accounting firms. We provide an award-winning cloud platform that helps tens of thousands of accounting professionals work more…
The Algorithm Expert will design and implement foundation models for financial behavior sequences to power risk-control systems for DiDi's global fintech business. The role involves building pre-training pipelines, multi-source sequence modeling, and deploying models for fraud detection and credit scoring.
The Principal Generative AI Engineer will lead a new Generative AI Centre of Excellence, designing and shipping production-grade agentic AI systems for clients. This hands-on role requires deep expertise in AI agent lifecycles, system architecture, and consulting to guide both internal teams and external stakeholders.
Senior Applied AI Engineer building LLM and retrieval systems for an AI Moderator platform that conducts expert interviews and generates structured insights. Work involves LLM orchestration, API development, and vector database optimization for enterprise and investment clients.
This graduate programme role involves developing and maintaining software applications through the full development lifecycle, including testing and deployment. Candidates will work on diverse projects while receiving professional training and coaching.
Creates high-quality AI-generated product and lifestyle imagery using tools like Stable Diffusion and Photoshop, then refines and delivers assets that meet brand and production standards.
Principal AI Software Engineer at Snowflake working on AI-native solutions for enterprise data. Focuses on defining technical strategy for AI initiatives, building multi-agent systems, and ensuring reliability of LLM-based applications at scale.
Develops and evaluates autonomous AI agents, focusing on RAG systems, performance metrics, and safety protocols to mitigate hallucinations and improve agent capabilities.
Build and lead enterprise-scale agentic AI systems for financial services, designing planning, memory, and orchestration layers while integrating LLMs into production workflows.
Builds and scales production-grade AI/LLM systems, including RAG pipelines, chatbots, and automation workflows, using Python/JS and cloud infrastructure to solve enterprise challenges.
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