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AI Engineer (LLM & Automation)
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About the Company
Ever-Power Industry Pte Ltd is a Singapore-based company specialising in the export of mechanical power transmission products, including gearboxes, gears, sprockets, chains and other industrial components.
Serving customers across Europe, the Americas and Asia, we are actively investing in AI-driven solutions to enhance operational efficiency in areas such as customer communication, quotation generation and trade workflow automation.
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Key Responsibilities
. Develop and deploy LLM-powered applications to support business operations
. Build AI-driven automation tools for:
. Email handling and response generation
. CRM and customer management workflows
. Document and quotation generation
. Assist in implementing knowledge retrieval and RAG-based systems
. Develop and maintain backend services and APIs (Python preferred)
. Design and implement structured AI outputs, including classification, summarisation and information extraction
. Support testing, evaluation and optimisation of AI systems
. Work closely with internal teams to translate business requirements into practical AI solutions
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Requirements
. Bachelor's degree in Computer Science, Artificial Intelligence, or a related field
. Proficiency in Python programming
. Familiarity with LLM APIs (e.g. OpenAI, Claude, or open-source models)
. Basic understanding of AI/ML concepts (e.g. embeddings, retrieval, or similar techniques)
. Exposure to backend development or API development is an advantage
. Strong problem-solving skills and willingness to learn
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Preferred Qualifications (Good to Have)
. Experience with AI frameworks such as LangChain, LangGraph, or similar tools
. Experience building automation or workflow-based systems
. Background in competitive programming (e.g. ACM/ICPC, NOI, Codeforces, etc.)
. Experience or interest in applying AI to real-world business workflows (B2B, trade, manufacturing)
. Experience in negotiation, customer communication, or deal-related workflows
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Employment Type
. Full-time
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Location
. Singapore
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Application Instructions
Interested candidates are invited to submit:
. Resume
. GitHub or project portfolio (if available)
. Any relevant project or competition experience (optional)
Job ID: 147097583
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