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The Forward Deployed Engineer acts as a bridge between AI, data, product, and clients to build AI agents, data pipelines, and PoCs. The role focuses on delivering production-ready AI solutions using Python and SQL.
The Forward-Deployed Data & AI Engineer builds production AI solutions and data pipelines while collaborating directly with customers to guide product development. The role requires strong Python and SQL skills and experience with AI evaluation in a fast-paced startup environment.
Funditec is seeking a Senior Data AI Engineer to lead the development of advanced AI solutions for cybersecurity and digital transformation. The role involves architectural coordination, model validation, and technical mentorship within R&D projects.
Bridge AI, data, product, and customers by building AI agents, data pipelines, integrations, PoCs, and evaluation frameworks for enterprise clients in a startup environment.
Global M is seeking a Forward Deployed AI/Data Engineer to build production-grade AI agents and data pipelines while working directly with enterprise clients. The role focuses on delivering ROI through AI solutions within a startup environment.
Global M is seeking a Forward-Deployed AI/Data Engineer to build production-grade AI solutions, data pipelines, and integrations for enterprise clients. The role involves working directly with stakeholders to deliver end-to-end systems and PoCs with a focus on ROI.
Mdw is seeking a mid-level full-stack developer to build and deploy generative AI cloud applications within the Microsoft ecosystem. The role involves backend development using Python or .NET on Azure, frontend work with React/Next.js, and integrating LLMs and RAG architectures.
This role involves full-stack development using Angular, Python, and Java to build innovative Generative AI solutions and intelligent agents. The position is fully remote and part of a multidisciplinary team.
The Full-Stack AI Engineer will build and deploy generative AI applications within the Microsoft Azure ecosystem. The role involves full-lifecycle development of cloud services using Python or .NET for the backend and React/Next.js for the frontend, focusing on LLMs, RAG, and agent-based architectures.
Builds the data flywheel platform and foundation-model infrastructure at Wayve, focusing on data curation pipelines, model evaluation/training systems, and distributed data processing using Python, Ray, Spark, and lakehouse technologies.
bitbybit Studio is seeking a full-stack engineer to build AI agents for WhatsApp using React, Next.js, TypeScript, and Node.js. The role involves end-to-end development, including mobile app work with React Native, database design, and Kubernetes deployment.
BJAK is hiring a full-stack engineer to build and maintain features for their AI Finance Agent, working across the frontend, backend, and internal tools. The role involves end-to-end feature development in collaboration with product and design teams.
The AI & Data Analytics Engineer will research and develop AI-driven solutions to enhance operational efficiency and support business decision-making. The role involves collaborating with cross-functional teams to integrate AI and data analytics into existing processes.
The AI Solutions Engineer will lead data engineering and model development initiatives, focusing on building data pipelines, deploying AI models, and implementing CI/CD and containerization practices.
The Data Scientist will collect and analyze data to build ML models and design RAG-based data pipelines for AI applications. They will work within a small, fast-growing team to translate business objectives into actionable data-driven insights.
The Senior Video AI Data Pipeline Architect will design and optimize end-to-end data pipelines for video generation models. The role involves building workflows for OCR, alignment, and quality evaluation using Python and PyTorch.
The Equity Data Architect will manage the data layer for an AI project, sourcing and structuring investment data for research and AI workflows. The role involves evaluating data vendors, managing teams, and optimizing data pipelines using Python and SQL.
The ML Software Engineer will develop algorithms, manage data processing pipelines, and handle model deployment and testing. The role involves collaborating with product teams to translate customer needs into technical specifications.
Dainvi is hiring a Computer Vision ML Research Engineer in Hong Kong to focus on data-centric AI, labelless detection, and active learning. The role involves building scalable data pipelines and deploying secure AI models optimized for heterogeneous hardware.
The AI Solutions Engineer will design and deploy AI-driven features such as recommendation systems and knowledge bases for an e-learning platform. The role involves managing data pipelines, handling Docker/Git deployments, and ensuring AI applications meet security and compliance standards.
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