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Python Data Engineer
Builds an AI-powered Jira-integrated backend that auto-investigates connected-car tickets using multi-agent workflows, event-driven pipelines, and AWS services like ECS, SQS, and Bedrock.
AI Engineer (LLM & Data Engineering)
Build and deploy AI models (LLMs, ML) and data pipelines for healthcare insights, recruiter automation, and personalized digital experiences using Python, PyTorch/TensorFlow, and LangChain.
Senior Backend Engineer — AI Platform (Remote)
Builds backend services and APIs in Python/TypeScript that orchestrate LLMs, vector databases, and agentic workflows for an AI-driven infrastructure automation platform.
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.
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.
AI Engineer Area AI / Data, AI & Analytics Finland
Design and build generative AI and LLM-powered solutions for clients, including agent architectures, RAG systems, and cloud-based AI platforms on Azure/AWS/GCP.
Data-oriented Full Stack Engineer
Build data-heavy full stack apps and AI features for clients, using Python, TypeScript/React, cloud platforms, and data pipelines while collaborating closely with distributed teams.
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.
Agent & Prompt Engineer - AI, Strategy & Operations
Design and build production LLM-powered agents and chatbots, iterating on prompts, tool-calling, and multi-step workflows to automate customer service and operational tasks.
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.
Data Scientist Specialist
Build and deploy production-grade AI systems, ML pipelines, and GenAI/LLM solutions using Python/R, Docker/Kubernetes, and MLOps best practices to drive business impact in a Malaysian telco.
Specialist Data Intelligence (Data Scientist)
Build and deploy ML models, predictive analytics, and AI-powered apps to drive data-driven decisions across DKSH’s markets using Python, SQL, and frameworks like Scikit-learn and XGBoost.
Senior AI Engineer
Lead end-to-end AI product development, architecting and optimizing systems using Python, RAG/LLM frameworks, and databases like MySQL or Elasticsearch.
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.
Senior Software Engineer – Enterprise AI Solutions
Builds enterprise-grade AI solutions (LLMs, RAG, agents) and scalable backend services for banking and healthcare clients using Python/Java/Node.js and modern cloud stacks.
Senior AI Engineer
Senior AI Engineer builds production-grade GenAI systems (RAG, agents, classification) for a bank using LLMs, prompt engineering, and vector search, while ensuring reliability, security, and governance.
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.
Junior/Senior AI Engineer (Mandarin Speakers only)
Build and deploy AI-powered applications on AWS, integrating LLMs and cloud-native tech to create production-ready AI services and agents.