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This role involves architecting and managing cloud infrastructure for AI solutions, ranging from proof-of-concept environments to production-grade systems. The engineer will work across AWS, Azure, and GCP to deploy secure, scalable infrastructure and integrate generative AI models.
The Data Engineer will architect high-throughput pipelines for unstructured data, focusing on vector embeddings, hybrid search indexing, and computer vision solutions. The role involves collaborating with cross-functional teams to ensure data quality and system reliability.
Roles & Responsibilities Our client, a leading global luxury brand, is seeking a Data Science & AI Engineer to design and deploy advanced analytics, machine learning, and Generative AI solutions that drive…
Roles & Responsibilities Overview We are looking for a fresh graduate (degree or diploma) Data & AI Engineer to join our growing team. This is a hybrid role: about half your time will go into designing,…
Builds and maintains high-throughput data pipelines to ingest, process, and analyze unstructured data (documents, media) using AI/ML for threat detection and semantic search in national security applications.
AI Architect serving as enterprise design authority for AI architecture at a real estate firm, defining reference architectures, platform standards, and roadmaps focused on GenAI, LLMs, RAG, AI agents, and MLOps/LLMOps across cloud and on-prem environments.
Design and build advanced AI/ML solutions for Cisco’s supply chain, focusing on predictive analytics, LLMs, and agentic workflows to optimize product lifecycle and operational efficiency.
Build and deploy full-stack applications and AI-powered workflows using Python, JavaScript, and Go, integrating LLMs and cloud services in a fast-paced Singapore-based engineering team.
Technical Product Manager leading the definition, delivery, and scaling of ML and GenAI-powered analytical products at an automotive mobility company, collaborating with data scientists and engineers on AWS/Azure using Agile practices.
The Technical Lead Architect will build and manage a semantic layer and knowledge graph to unify complex pharmaceutical data for AI agent consumption. This hands-on role involves designing ontologies, implementing agentic architectures, and leading engineering teams to deliver AI-assisted scientific workflows.
Build and own scalable backend services in Node.js/TypeScript that integrate AI models and data pipelines for banking clients, deploying on Azure/AWS.
Think start-up energy, backed by enterprise scale. We are building modern platforms within a global organization—combining the agility, ownership, and engineering freedom of a start-up with the stability and funding of…
Build AI Agent application modules (chat UI, knowledge bases, workflow engines) integrating LLM capabilities like RAG and tool calling, using Python/TypeScript, React/Vue, and FastAPI on a full-stack team at Surbana Jurong in Shanghai.
The Data Engineer will design and build data infrastructure, ETL/ELT pipelines, and data models to support analytics and AI applications. The role involves working with technologies like Python, SQL, PySpark, Databricks, and various database platforms to transform data into actionable insights.
The Lead AI Engineer will architect and build autonomous, production-grade agentic systems using Python, LangGraph, and various LLM orchestration frameworks. This role involves designing multi-agent workflows, managing state for long-running tasks, and integrating real-time data pipelines to enable intelligent, self-healing decision-making systems.
The Senior AI Application Developer will design, build, and deploy production-grade AI applications, including agentic systems and RAG pipelines, to support manufacturing operations. The role involves full-stack development using Python, C#/.NET, and TypeScript while implementing LLMOps practices and enterprise-grade AI governance.
The Lead AI Engineer will architect and build production-grade autonomous agentic systems using Python, LangGraph, and various LLM orchestration frameworks. This role involves designing multi-agent workflows, managing state for long-running tasks, and integrating real-time data pipelines to support intelligent, self-healing applications.
Design and build agentic AI solutions—LLM-powered agents, RAG pipelines, and workflow automation—integrated with CRM/PMS systems for a property portfolio platform, using Python/C#/TypeScript, vector databases, and frameworks like LangChain or Semantic Kernel.
Develop and evolve generative AI solutions, intelligent agents, and RAG architectures at Senior Sistemas' AI Core, using Python, LLMs, vector databases, and cloud platforms in a hybrid role based in Blumenau/SC.
Senior full stack engineer building a secure AI-first cybersecurity SaaS platform for SMEs, working across React/TypeScript frontend, Node.js backend, PostgreSQL, Azure cloud, and LLM integrations (OpenAI, Claude) with strong emphasis on secure coding and AI cost optimization.
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