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The Senior AI Engineer designs and deploys Generative AI solutions, including LLMs, RAG architectures, and agents, to enhance enterprise automation and decision-making. The role involves integrating AI models with enterprise data platforms on AWS and Azure while ensuring model security, quality, and performance.
Build the core platform that lets AI agents and tools connect, orchestrate, and run inside Tailor’s AI-native ERP system using TypeScript, Go, and Rust.
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.
The CDP Data Engineer manages data ingestion, identity resolution, and schema mapping within Adobe Real-Time CDP and Adobe Experience Platform. This role involves building data pipelines, ensuring data quality for marketing activation, and collaborating with architects to maintain scalable, governed data models.
The Beta Community Program Manager at Intuition Robotics will build and cultivate a community of older adult users for ElliQ, an AI-powered companion robot in Japan. The role involves user acquisition, onboarding, feedback collection, technical support, and communication, requiring Japanese language proficiency and cultural understanding of the elderly demographic.
The Senior Platform Engineer will design, build, and operate cloud infrastructure within Microsoft Azure, focusing on SecDevOps, containerization, and infrastructure-as-code. The role involves driving cloud strategy, managing CI/CD pipelines, and leveraging AI-assisted engineering tools to support the company's regulatory intelligence SaaS platform.
Develops and deploys AI/ML models (classification, NLP, CV, time-series) for business use, using Python, TensorFlow/PyTorch, and cloud platforms like AWS SageMaker. Focuses on MLOps (Docker, MLflow, Kubernetes) and cross-team collaboration to solve real-world problems with automation and predictive analytics.
Principal Solutions Architect for AI Data Infrastructure at Firmus Technologies, owning architecture/evaluation/optimization of storage, memory, and caching systems for AI Factory and AI Cloud. Core technologies include NVMe, NVMe-oF, parallel/software-defined storage, low-latency fabrics (RDMA/RoCEv2/InfiniBand), and next-gen memory (CXL, disaggregation, KV-cache).
Founding Forward Deployed Engineer at Frontdesk, building and deploying AI workers for customer operations across voice, text, email, and chat. Responsible for owning enterprise deployments, building custom integrations, and eventually leading the Forward Deployed Engineering organization.
Разработчик Fullstack создает и поддерживает адаптивные UI-компоненты, интегрирует GraphQL и AI-агенты, а также строит процессы AI PDLC для внутренних продуктов.
Junior ML engineer builds and tunes AI models for tax document automation, using Python, PyTorch/TensorFlow, and Azure AI tools in Irvine, CA.
Forward Deployed Engineers at Baseten work directly with major AI companies, owning technical outcomes for AI models including inference and post-training systems. They act as technical leads, debug production issues, and contribute to product development across multiple client accounts.
Build and deploy AI agents that automate security risk assessments, evidence collection, and compliance reporting using LLMs and automation workflows in Python.
Senior ML Engineer builds, deploys, and maintains end-to-end machine learning solutions in cloud environments using Python, SQL, Azure ML, Databricks, and MLOps practices.
Designs and builds scalable AWS-based ML/data infrastructure for enterprise AI solutions, focusing on MLOps, feature engineering, and governance to enable production-ready AI at scale.
Lead AI and data science projects for a large insurer, building ML and generative AI solutions to drive business insights and strategic decisions while mentoring junior team members.
Lead a team of ML engineers to architect and deliver AI solutions for financial services, focusing on Gen AI and ML systems while providing technical direction and hands-on support.
Build and deploy Generative AI systems for RBC Capital Markets sales teams, focusing on client intelligence, deal summarization, and real-time conversation analysis using Python, LLMs, and RAG.
Senior ML Engineer supporting AI CoE's ML initiatives in Canada, building/deploying/operationalizing ML solutions in cloud environments with SQL and Python expertise.
Build AI inference systems that serve large-scale models with extreme efficiency, optimizing GPU kernels and compilers, working with vLLM, CUDA, and other AI/ML technologies to push the frontier of accelerated computing.
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