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The Data & AI Engineer will build and industrialize energy data pipelines and develop AI components for production, focusing on data modeling, quality, and decision support within a decarbonization SaaS platform.
Build and deploy AI systems for Nasdaq Lens, focusing on Python, AI agent frameworks, and AWS while ensuring compliance in regulated environments.
Build Python data pipelines and AI pricing models for a startup, cleaning historical data and validating outputs to adjust prices dynamically.
Thales is seeking an AI/Data Engineer in Québec to develop Agentic AI applications, build data pipelines, and integrate large-scale AI models into production environments.
The AI Platform Engineer will design and operate enterprise AI/GenAI platforms, focusing on LLMOps, MLOps, and building reusable AI services like RAG and inference APIs. The role also involves developing CI/CD pipelines and coaching teams on DevOps best practices within a capital markets environment.
The Senior Backend Engineer will design and build the Citadel platform for AI agent development and evaluation within Electronic Arts. The role involves working with Python, C++, and Kubernetes to create scalable backend services and CI/CD pipelines for game-integration workflows.
Dayforce is hiring a Senior .NET Backend Engineer to design and build core services for their AI-enabled agent platform. The role focuses on backend development, system reliability, and scalable infrastructure within a distributed environment.
Appear is building an AI visibility platform that helps brands track and improve their presence in AI search results. The software engineer will build customer-facing features, develop infrastructure for AI crawler interactions, and create analytics tools using technologies like TypeScript, APIs, and edge infrastructure.
Build and maintain scalable Java backend systems while integrating agentic AI features into enterprise applications.
Builds and maintains full-stack web applications using Python, React, and Node.js, integrating AI/ML solutions and cloud-based deployments on AWS/OpenShift.
The Python AI Engineer will design and build scalable AI-powered applications, microservices, and APIs using Python, LLMs, RAG, and Agentic AI frameworks. The role involves managing the full SDLC, including CI/CD, containerization, and event-driven architecture.
The Senior Manager of Data Science leads a team of machine learning engineers and data scientists to develop and deploy styling algorithms and AI-driven personalization features. The role involves overseeing the end-to-end algorithm development lifecycle, collaborating with cross-functional partners, and driving product roadmaps for client-facing AI experiences.
The AI Engineer will build and deploy production-grade AI systems to support energy infrastructure, working directly with internal stakeholders to translate business needs into technical solutions. This role requires hands-on experience with LLMs, RAG, and agent frameworks, as well as the ability to operate in a hybrid, in-office environment in Houston.
Designs and implements data governance frameworks, metadata management, and data quality solutions on GCP, migrating on-premise environments to cloud-based platforms while supporting AI/ML initiatives for a telecom client.
The Platform Engineer will support and standardize data pipelines for biological research, helping scientific teams utilize the Omics Workbench platform. The role involves optimizing cloud infrastructure and supporting AI/ML-assisted development workflows for global biopharma projects.
The Junior Data Engineer will optimize KDB+ processes and build analytics layers and APIs to support trading and AI/ML applications. The role involves collaborating with global teams to prepare data for model training and ensure system resilience.
As a Senior Data Engineer, you will design, develop, and optimize ETL/ELT pipelines and data architectures for diverse international clients using Python, SQL, Snowflake, dbt, and orchestration tools like Airflow or Dagster. You will work within a remote-friendly, autonomous team environment focused on delivering high-quality data solutions across cloud platforms.
The Junior Data Engineer will join the AI Markets team to develop and optimize kdb+ time-series databases, building analytic layers and APIs for traders and quants. The role involves working with large datasets, performance tuning, and integrating data with AI/ML workflows.
This role involves leading end-to-end data engineering initiatives to support AI use cases, including building ELT pipelines and maintaining dbt models. The position requires extensive experience with Snowflake, Azure, and Python to deliver scalable analytics datasets.
ZS is seeking a Senior Full-Stack Engineer to build scalable healthcare web applications using React.js and Node.js. The role involves collaborating with AI engineers and product teams to develop MVPs and integrate services with cloud platforms.
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