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ABOUT THE POSITION Meet the Smart Safety Company At Safe Fleet our name says it all. We make fleet vehicles – and everyone in and around them – safer. Our fleet safety platform brings together best-in-class products,…
Early-career AI engineer at AMD in Singapore building agentic AI systems and 'digital workers': developing LLM-powered agents, RAG pipelines, and prompt/context engineering, then deploying them into real business workflows using Python, agent frameworks (LangChain, LangGraph, etc.), vector databases, and cloud platforms.
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies…
THE ROLE: We are seeking a passionate and highly motivated AI Engineer to join our AI Engineering team focused on building the next generation of Agentic AI and Digital Agents . In this role, you will participate in…
Salary: $3,000 – $3,800 per month • Immediate Role • Good Working Environment • Provide Opportunities Interested applicants can send your resume to Whatapps + 65 8354 7632 [Nicole] and allow our Consultant to match you…
Senior (L3) IT engineer at a New Zealand MSP serving small and medium businesses: final escalation point for complex client issues, leading client onboardings and migrations, joining presales to design solutions, mentoring juniors, and building AI-assisted automation. Core stack: Microsoft 365, Azure/Entra ID, Intune, PowerShell, Veeam, UniFi networking and RMM/PSA tools.
Builds an AI-powered intelligent document processing and workflow automation platform for an HR outsourcing company: LLM/agent pipelines that classify, extract, validate, and route business documents (PDFs, invoices, payroll, insurance) with human-in-the-loop review. Core stack: Python, FastAPI, LLM APIs (OpenAI, Bedrock, Claude), OCR, RAG, AWS, Docker.
Tokyo-based AI Engineer owning end-to-end development of AI-native features built on RAG, LLMs, and AI agents — from model selection and agent workflow design to evaluation, monitoring, and cost optimization. Stack centers on Python/TypeScript/Go, LLM APIs, and agent/RAG frameworks; JLPT N1 Japanese required, visa support available.
Lead GCP pre-sales for SmartOSC's cloud practice in Hanoi: design customer solutions across data, AI/ML and Google Workspace, run workshops, POCs and live demos, build proposals and pricing/ROI models, and develop reusable presales assets while collaborating with Google Cloud partner engineers. Core tech: GCP (BigQuery, Gemini), plus AWS/Azure comparisons.
About PSD Citywide Ready to make a real impact on communities across North America? PSD Citywide isn’t just a software company; we’re transforming how Local, First Nations, and Regional Governments achieve success and…
Remote (US) GCP Architect at an IT services firm: designs, deploys, and supports cloud solutions primarily on Google Cloud Platform, building on the Gemini Enterprise Platform with Infrastructure-as-Code (Terraform) deployments, AI/Vertex AI proofs of concept, and end-user support, plus some AWS and Linux work.
TSR Consulting is hiring a Python full-stack developer in Tampa to design, build, and deploy scalable enterprise applications: Python backend services (FastAPI/Flask/Django), React/Angular frontends, REST APIs and microservices, plus GenAI features using LLMs, RAG, vector databases, and agent frameworks, deployed on cloud platforms like AWS/Azure/GCP.
A hands-on Automation Architect (12 years' experience) working for client Infosys/Meta in Charlotte, NC, designing and building scalable automation frameworks for Google Gemini Enterprise (GECX)-based Agentic Voice and Agentic Chat applications.
Wave is hiring a Group Product Manager to lead the Core Services group — a team of PMs owning the shared platform layer (orchestration workflows, APIs, reusable services) that lets customer-facing product teams build and scale. The role blends platform strategy, roadmap and health metrics with people leadership and deep technical fluency in distributed systems.
Machine Learning Engineer at Wave (financial software for small businesses) who builds, trains, and deploys ML models and scalable pipelines/platforms into production. Core stack is AWS (SageMaker, Spark/Glue), Terraform, Airflow orchestration, and MLOps tooling like MLflow/Kubeflow, with a focus on governance, observability, and cost-efficient ML systems.
A hands-on Automation Architect (12 years' experience) in Charlotte, NC who designs, develops, and implements scalable automation frameworks for Google Gemini Enterprise (GECX)-based Agentic Voice and Agentic Chat applications, serving client Infosys/Meta.
Mavericks Wanted When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on In 2015, we pioneered a “moneyball for…
Senior hands-on AI engineer who will take technical ownership of Emplia's conversational agent for HR, time & attendance, and payroll systems as the company moves from POC to MVP. Day-to-day work spans RAG and vector/hybrid search, LLM integration and tool calling, guardrails, permissions-aware retrieval, evaluation, observability, and multilingual text/voice experiences.
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