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AI Fullstack Engineer
Builds AI-powered interfaces for Eureka Materials, focusing on React/Vue frontends, data visualizations, and lightweight Node.js/Python backends to deliver AI Agent features and material-search workflows.
Principal Full Stack Engineer (AI Systems)
Architect and build AI-powered workflows for SME back-office automation using LLMs, embeddings, and intelligent agents, while mentoring engineers to adopt AI-assisted development practices.
Senior Full Stack Engineer - A26150
Lead the design and build of a Singapore government-wide search platform using GenAI, vector search, and cloud-native stacks (Node.js/TypeScript, Azure/AWS/GCP).
M40 - Full Stack Engineer (AI)
Builds and maintains a full-stack web app and integrates enterprise AI solutions using LLMs, RAG, and agentic frameworks in AWS.
Full Stack Engineer (Web AI)
Build and lead a GenAI-powered search platform using LLMs, RAG, and vector databases while mentoring engineers and defining scalable, secure architectures.
Full Stack Engineer (AI Systems)
Builds full-stack AI features using LLMs, RAG, and agent workflows in Next.js, Python, and Node.js, ensuring low-latency, reliable AI integrations for production systems.
M41 - Senior Full Stack Engineer (GenAI)
Build and own full-stack GenAI features using LLMs and RAG on AWS with TypeScript/Python, while driving engineering standards and mentoring peers.
Full Stack Engineer (AI & GenAI) (2 Year Contract)
Build and deploy enterprise AI applications using LLMs, agentic workflows, and cloud-native tech. Day-to-day work spans full-stack development with Python, Next.js, React, and AWS, plus GenAI integrations via LangChain and AWS Bedrock.
AI Full Stack Engineer (1 Year Contract)
Build production-grade AI applications for Singapore’s education sector using TypeScript, React, NestJS, PostgreSQL, and AWS, integrating LLMs and observability tools.
Expert Backend Engineer (LLM, Big Data Product Application) - Data Infra Team
Build and own AI-native data products that turn natural-language questions into SQL, dashboards, and insights using LLM pipelines, backend services, and big-data infra.
Software Backend Engineer
Builds and maintains scalable backend services and cloud-native APIs for government projects using AWS, Java/Spring Boot or Node.js, and CI/CD pipelines.
Python Developer
Build AI-powered Microsoft Teams bots using Python, M365 Agent SDK, and Azure AI services, integrating LLMs with RAG pipelines and vector databases.
Python Developer (AI / LLM/ RAG)
Build AI-powered Microsoft Teams bots using Python, M365 Agent SDK, and RAG with Azure AI Search and LLMs to deliver conversational, enterprise-grade solutions.
Python Developer AI Systems, LLMs & RAG
Build and optimize Python-based AI applications using LLMs, RAG, and vector databases to power enterprise-grade intelligent automation for healthcare and other industries.
Python Developer
Build AI-powered Microsoft Teams bots using Python, M365 Agent SDK, and RAG pipelines with Azure AI Search and LLMs.
AI/ML Engineer — GenAI & Data Platforms
Build and deploy generative-AI features and agents using Python, LLMs, and cloud services; develop full-stack web apps with Django/Flask and CI/CD pipelines.
AI/ML Engineer (R-00194)
Build and deploy AI/ML models and RAG systems in AWS GovCloud for secure government workflows, using Python and FedRAMP-authorized services while ensuring compliance and Zero Trust security.
Full Stack Web Developer (Backend Focus) – Multi-cloud GenAI Platform / Secure GPT
Builds and maintains a secure, multi-cloud GenAI platform (Azure/AWS/GCP) with Secure GPT features like RAG, agents, and document processing using Node.js, React, and cloud-native tools.
AI Engineer
Build and scale LLM-powered analytics features for healthcare data, including RAG, text-to-SQL, and agent workflows on AWS and Snowflake.
DevOps Engineer Java & Angular (m/w/d)
Build and operate a GenAI platform and internal AI chat app using Java/Spring Boot, Angular, and Azure, focusing on RAG and DevOps practices.