Safety & Client Support: Enforce strict PPE compliance on-site and assist in answering basic customer inquiries regarding outages or performance.
Adhoc Tasks: Ensure all ad hoc tasks assigned by supervisors are completed efficiently and with attention to detail, supporting overall team performance.
Educational Background: A Diploma or Bachelor’s Degree in Electrical Engineering, Renewable Energy, Clean Technology, or a relevant technical discipline.
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Develop, approve, and manage commissioning plans, test scripts, procedures, and checklists to ensure comprehensive test coverage.
Coordination meetings with clients, contractors, consultants, vendors, and internal teams; establish clear priorities and escalation pathways.
Review design documentation and vendor submittals to identify commissioning risks, interfaces, and opportunities for constructability improvements.
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Connect with customers and colleagues to strengthen your reputation for dependable service in the community.
If you enjoy hands-on problem solving and seeing quick results, you will like working with us at TUHU CAR CARE. We are a growing automotive service team focused on reliable, high quality car care for everyday drivers, and we want a senior technician who cares about practical fixes and clear communication.
In this role you will help build our workshop capability, introduce reliable diagnostic practices, and lift service standards across the team. You will have space to improve processes and mentor junior technicians so our bays run smoother and customers leave confident.
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Improve throughput by applying safe, consistent servicing steps that reduce rework and waiting time.
Position yourself for lead technician roles by taking responsibility for quality checks and small project upgrades.
Working with us at TUHU CAR CARE means you join a busy, service-first team that keeps cars safe and owners smiling. We are a hands-on automotive workshop focused on reliable maintenance, honest advice, and steady improvement for every vehicle that comes through our doors.
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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.
Conduct rigorous testing and provide ongoing maintenance for applications to uphold performance and reliability standards.
Cultivate deep insights into clients' businesses and industries, leveraging this understanding to identify and capitalize on new opportunities for innovation and improvement.
Foster strong client relationships through clear and effective communication, collaborating closely with both clients and superiors to achieve project success.
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