We are looking at hiring two specialists. One role is focused on the services and API side: designing endpoints, building backend logic, owning data models, and making sure things are fast and reliable. A second engineer on the team will focus on integrations and infrastructure.
Role Description
As an experienced Backend Engineer, you will design, build, and maintain server-side applications and services that power our digital infrastructure....
Integrate and configure sensors, actuators, motion control systems, PLCs, HMIs, and machine vision systems to deliver reliable and cohesive automation solutions.
Lead system integration, testing, commissioning, debugging, and optimization activities at the company and customer sites.
Analyze complex control system issues, identify root causes, and implement effective corrective and preventive solutions to improve system reliability and performance....
This role requires working EMEA hours (3:00 pm – 12:00 am), with a shift allowance provided.
Database Development: Design and implement robust database structures, including tables, views,, indexes, packages, stored procedures and functions, using SQL and NoSQL technologies for (Oracle / MS-SQL / PostgreSQL) and their needed integration services.
Back-end Logic: Write, debug, and optimize complex stored procedures, functions, and triggers...
As a next-generation EdTech SaaS and experiential learning platform, we are redefining how people learn by combining AI, cloud technology, and real-world experiences into a unified ecosystem.
Our mission is to move beyond traditional education models and create learning that is continuous, personalized, and deeply connected to real-world outcomes. We work with schools, educators, and organizations to deliver impactful learning experiences—both digitally and beyond the classroom.
Operating across Southeast Asia and expanding rapidly, BeED offers a unique opportunity to work on cutting-edge technology with real-world impact. Our team is driven by curiosity, ownership, and a shared ambition to shape how the next generation learns....
Job SummaryWe are looking for a hands-on AI Engineer to design, develop, integrate, and deploy Generative AI, AI chatbot, and Agentic AI solutions. The role will focus on building practical AI applications and integrating LLM capabilities with existing applications, APIs, databases, and enterprise systems.Key ResponsibilitiesDesign and develop AI chatbots, copilots, and LLM-powered applications.Build Agentic AI solutions with reasoning, tool/function calling, multi-step task execution, and workflow automation.Implement RAG, embeddings, vector search, prompt engineering, and conversational memory.Work with commercial and open-source LLMs and select appropriate models based on business and technical requirements.Integrate AI solutions with REST APIs, databases, CRM/ERP systems, and enterprise applications.Develop AI integration services and APIs for existing systems and business workflows.Evaluate and optimize AI solutions for accuracy, reliability, latency, scalability, security, and cost.Collaborate with software engineers, architects, product teams, and business stakeholders.Keep up to date with developments in Generative AI, LLMs, Agentic AI, and AI automation.RequirementsBachelor's degree in Computer Science, AI/ML, Software Engineering, or a related field.3+ years of experience in AI/ML engineering, software engineering, or a related role.Hands-on experience developing LLM applications, AI chatbots, or Generative AI solutions.Practical experience with AI Agents, Agentic AI, tool/function calling, or AI workflow automation.Experience with open-source LLMs such as Llama, Qwen, Mistral, Gemma, or equivalent.Strong Python programming and software engineering skills.Experience with REST APIs, system integration, databases, and cloud/on-premise environments.Hands-on experience with RAG, vector databases, embeddings, and prompt engineering.Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or equivalent.Experience with LLM platforms such as OpenAI, Azure OpenAI, Anthropic, Gemini, and/or open-source models.Familiarity with Docker, Git, CI/CD, and production deployment.Preferred SkillsExperience serving open-source LLMs using vLLM, Hugging Face, Ollama, or equivalent.Experience with MCP, multi-agent systems, LLM evaluation/observability, fine-tuning, LoRA/QLoRA, or model optimization.Experience with AWS, Azure, or Google Cloud.Knowledge of AI security, data privacy, access control, and responsible AI.
Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
Bachelor’s degree or above, with 5-8 years in software development and relevant experience in leading AI/ML development project...
This role requires working EMEA hours (3:00 pm – 12:00 am), with a shift allowance provided.
Database Development: Design and implement robust database structures, including tables, views,, indexes, packages, stored procedures and functions, using SQL and NoSQL technologies for (Oracle / MS-SQL / PostgreSQL) and their needed integration services.
Back-end Logic: Write, debug, and optimize complex stored procedures, functions, and triggers...