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Full-stack developer building AI-powered tools for an international design ecommerce platform, integrating LLMs and automation into frontend/backend workflows and internal systems.
Build and maintain data models and dashboards for a fast-growing e-commerce yarn retailer, ensuring consistent KPIs and enabling data-driven decisions across Finance, Product, and Tech.
Build and maintain scalable data ingestion pipelines and a unified data platform using Databricks, Microsoft Fabric, Kafka, and Terraform to securely move and transform enterprise data for Bunker Holding Group.
Build and maintain scalable cloud-based data ingestion pipelines using Databricks, Microsoft Fabric, Kafka and Azure services to feed a unified data platform that drives analytics and decision-making.
Build and model data pipelines for AI agents using Weld’s API and MCP, onboarding customers and designing warehouse setups for agentic workflows.
Build and maintain full-stack web apps and APIs for pharma engineering teams using .NET/Node.js/Python and React, deployed on Azure.
Build and maintain full-stack web apps and APIs for pharma engineering teams using .NET/Node.js/Python and React/Next.js on Azure.
Lead backend developer building a marketing data governance platform in PHP/Laravel, optimizing SQL performance and integrating AI tools like Cursor and Claude Code.
Build and test Reinforcement Learning Environments for AI systems using Rust, C++, Python, or other languages; tasks include debugging, refactoring, and performance optimization.
Lead the bank’s AI platform transformation, integrating internal and vendor solutions, defining onboarding pathways, and ensuring compliance with governance policies while driving MVPs to production.
We are seeking an intuitive and process-driven AI Operations Specialist to design, build, and deploy autonomous agentic AI workflows. In this role, you will leverage agentic AI to create multi-step reasoning agents…
Build and deploy AI-powered applications on AWS, integrating LLMs and cloud-native tech to create production-ready AI services and agents.
Design and implement AI-driven solutions on SAP Business Technology Platform, integrating generative AI, machine learning, and SAP services to optimize business processes and decision-making.
Build and maintain an AI platform: design services, deploy LLMs, optimize inference, and implement MLOps/RAG workflows for enterprise AI solutions.
Designs and builds AI-first data pipelines, MCP agents, and RAG systems using Azure OpenAI and Alibaba Tongyi Qianwen to power production AI services and customer experiences.
Build and maintain the AI Enablement Platform using MCP, TypeScript, Node.js, and GKE to securely integrate AI models with DHL’s API ecosystem and logistics data.
Build and maintain the backend infrastructure for AI-driven products, agent orchestration, and agentic workflows using Node.js, Python, and SQL.
Builds and secures AI platform services in TypeScript/Node.js, deploys on GKE, and governs APIs via Apigee for DHL’s AI Enablement Platform.
Build Angular-based portals and AI-augmented UIs, craft reusable component libraries, and integrate with APIs for AVEVA’s industrial software suite.
Build and lead scalable, secure full-stack systems in Node.js using hexagonal architecture, event-driven patterns, and cloud services (AWS/Azure) while mentoring teams on best practices.
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