Tech jobs
Job listings
Senior Full Stack Developer (DevOps)
Leads full-stack development with Node.js/React, Supabase, and AWS while owning CI/CD, AI-driven workflows, and mentoring engineers.
Senior Full Stack Developer (DevOps)
Build and lead a full-stack system using Node.js (NestJS/Express), React, Supabase, and AWS, while integrating AI tools for coding, testing, and automation in an edtech environment.
Full Stack Developer
Builds and refactors full-stack apps with Next.js, TypeScript, and Node.js, integrating AI APIs into fintech workflows and optimizing databases for real-time features.
Software Developer
Builds and maintains .NET web/desktop apps and integrates AI features like chatbots and document processing using C#, ASP.NET, and Azure AI/OpenAI APIs.
Software Engineer - Go-to-Market
Build full-stack AI-powered tools and internal platforms for an ag-tech startup, using React, TypeScript, Python/Node, and AI integrations to scale commercial and support systems.
Staff Data Scientist/Machine Learning Engineer
Build production-grade ML systems to detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
Founding Data/ML Engineer
Build Palette’s AI-native signal engine: ingest team tool data, model it as a queryable graph, and power shared context for both humans and agents using LLMs and vector search.
Senior Full-Stack Engineer (front-end and/or AI-focused)
Build and scale an AI-powered edtech platform using TypeScript, Vue 3, and modern cloud tools; either focus on polished frontend UX or design robust AI pipelines and backend services.
Senior Full-Stack Engineer (front-end and/or AI-focused)
Build and scale Alice’s AI-powered edtech platform, either as a frontend-focused full-stack engineer or an AI/backend specialist integrating LLMs, vector DBs, and orchestration pipelines in TypeScript.
Senior Full-Stack Engineer — AI-Driven, Equity Options
Build and scale an AI-powered edtech platform using TypeScript/Vue 3 on the frontend and Node.js/tRPC backend, with LLM pipelines and agentic workflows.
Agentic AI Engineer (MY)
Build and deploy autonomous multi-agent AI systems using LangGraph/CrewAI, integrating RAG, tool use, and multimodal inputs for enterprise workflow automation.
AI Engineer/ Architect- 12 months- 6k$- Insurer- No visa
Design and implement enterprise AI solutions for an insurer, focusing on generative AI, LLMs, and scalable platforms to improve underwriting, claims, and customer service.
GenAI & RAG Systems Engineer — Enterprise AI (Onsite)
Design and deploy GenAI recruitment solutions using RAG pipelines, React dashboards, and Python integrations for enterprise clients.
Senior Architect (AI / ML)
Design and lead enterprise-grade AI/ML architectures for DHL’s logistics systems, including generative AI, MLOps, and cloud platforms like Azure and Google Cloud.
Senior AI Platform Engineer - LLMs, MLOps & Orchestration
Designs and builds AI platform infrastructure, including LLMs, MLOps pipelines, and orchestration services to support AI product delivery in Cyberjaya.
AI Software Engineer at POSable Sdn Bhd
Builds and maintains AI-powered assistants and transactional systems; works on full-stack development, RAG pipelines, vector databases, and automated QA for a payments and document-processing platform.
AI Solutions Engineer
Build and deploy enterprise AI systems like RAG pipelines and AI assistants using Python, LLMs, and vector databases; optimize performance and integrate APIs for production environments.
AI Operations Specialist
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…
Senior Software Engineer (AI)
Build and ship AI-powered CRM, loyalty, and automation features using LLMs, RAG, and agents; full-stack development with AWS and SQL databases.
AI Engineer- 5k- Contract- Insurance - No visa sponsorship
Build and deploy AI-powered insurance applications using LLMs, RAG, and vector databases. Integrate models into production systems with Python, cloud platforms, and AI orchestration frameworks.