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Data Engineer building scalable batch and streaming pipelines, data products, and AI-facing integration layers (e.g., MCP servers) for an internal Agentic AI ecosystem using Python, SQL, dbt, orchestration tools, and cloud data platforms.
Full Stack AI Application Engineer at FPT Software in Singapore, responsible for hardening AI prototypes into production-grade solutions using React, TypeScript, Node.js, Python, and Azure AI services.
Builds AI-enhanced full-stack applications by designing frontends, APIs, and data services while integrating AI tools and capabilities into enterprise solutions.
Senior Security Consultant leading deployment strategy for complex AI stacks across Multi-Cloud (AWS, GCP), Hybrid, and On-Prem environments. Acts as Security & Compliance Authority enforcing hardening standards, Zero-Trust network access, and global compliance frameworks for AI deliveries using technologies like Red Hat OpenShift, Kubernetes, Terraform, and various AI/ML tools.
Lead the design and delivery of production-grade chatbot and agentic AI systems at Snoonu (Qatar's super app), using AWS Lex, Bedrock, Claude, and agentic frameworks to automate customer support, order verification, and logistics workflows.
Designs and deploys scalable AI/ML systems, including GenAI and computer vision, while leading reusable frameworks and mentoring teams to raise technical standards across projects.
Designs, builds, and deploys AI/ML models and systems for life sciences and healthcare, using Python, PyTorch/TensorFlow, and cloud platforms like Azure/AWS/GCP.
Welcome to Your Next Adventure! We are looking for an Engineering Lead to own and drive Snoonu's Conversational AI and Driver Automation platform — a portfolio spanning IVR systems, multi-channel chatbots, and a…
Design and build autonomous AI agents and multi-agent systems using LLMs, agent frameworks, and production-grade AI platforms.
Builds and deploys advanced AI systems focusing on agentic workflows and RAG pipelines, ensuring safety, reliability, and performance through evaluation frameworks and guardrails.
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.
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 Generative AI Engineer will design, develop, and deploy scalable AI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating GenAI into enterprise systems, and collaborating with MLOps teams on cloud platforms.
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.
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.
Lead the design and implementation of enterprise-grade Generative AI and Agentic AI solutions—spanning RAG, LLMs, and AI agents—using frameworks like LangChain, LangGraph, vector databases, and cloud-native infrastructure on a 12-month contract.
AI Engineer (Python) building scalable backend services, RESTful APIs, and AI-powered capabilities like RAG and document ingestion for a Singapore government Smart Nation agency.
Hands-on AI Engineer designing, building, and deploying LLM/GenAI solutions covering the full AI lifecycle including RAG pipelines, agentic AI, model training/fine-tuning, and production deployment using Python.
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