Total 2 job vacancies by Alpha X Technology Pte. Ltd.

Position Summary

Alpha X is a premier technology provider specializing in advanced automation and AI solutions for the high-tech manufacturing sector. Headquartered in Singapore, we have a strong regional presence with offices in Malaysia and Shanghai. At Alpha X, we make manufacturing more intelligent by delivering end-to-end, data-driven solutions. An award-winning company (SME500 Singapore Award Winner2025), we are now scaling our operations to drive digital transformation across diverse industries, including electronics, logistics, healthcare, F&B, general manufacturing, and beyond.

Key Responsibilities

The Business Development Executive is a key growth role focused on expanding Alpha X’s footprint in the Singapore market. You will own the "hunting" phase of the sales cycle—identifying, qualifying, and opening new business opportunities in sectors beyond our core semiconductor base. This role is ideal for a junior-to-mid-level professional with a strong Business Development mindset and a passion for Industry 4.0 technology.

Market Expansion & Lead Generation

• Active Prospecting: Identify and prioritize new business opportunities in high-growth sectors including Logistics, healthcare, General Manufacturing and beyond.
• Direct Outreach: Conduct cold calls, professional networking, and digital prospecting to build a robust sales pipeline from the ground up.
• Stakeholder Mapping: Identify and establish initial rapport with key decision-makers, such as Plant Managers, Operations Heads, and IT Directors.

Sales Execution

• Solution Shaping: Work closely with the R&D team in Singapore to translate client pain points into practical, customized AI solutions.
• Solution Pitching: Deliver compelling product demonstrations and present data-backed business cases for Alpha X’s AI and automation tools.
• Pipeline Management: Manage the full sales cycle for mid-sized opportunities, ensuring all activities are meticulously tracked in the CRM.
• Commercial Support: Assist in preparing quotations and support senior leadership during contract negotiations.

Market Strategy & Insights

• Feedback Loop: Gather and report market intelligence on competitor activities and customer pain points to help refine our Go-To-Market strategy.
• Event Representation: Represent Alpha X at trade shows, roadshows, and industry events to capture and nurture inbound leads.

Qualifications & Skills

• Experience: 2–4 years in B2B sales or business development, preferably within the technology, industrial, or software sectors.
• Education: Degree in Business, Engineering, or a related field.
• Hunter Mindset: A resilient, results-oriented approach with a proven ability to navigate long sales cycles and drive new business.

Why Join Alpha X?

• Innovation Leader: Work with cutting-edge AI and automation products that are defining the future of Smart Manufacturing.
• Direct Impact: Play a pivotal role in our expansion into new industries with high visibility to company leadership.
• Career Growth: Benefit from a clear progression path into Senior Account Management or specialized Sales Leadership roles.

Asthe AI Agent Architect / Senior Developer, you will be the core brain behindour flagship enterprise AI platforms. You will transition our systems frombasic LLM wrappers into autonomous, reasoning-capable AI ecosystems.

Yourprimary mission is to design and develop advanced Agentic workflows, buildrobust Knowledge Bases utilizing GraphRAG, and engineer complex multi-modaldata processing pipelines. You will ensure our AI solutions deliverexpert-level accuracy, deep contextual understanding, and enterprise-gradesecurity.

KeyResponsibilities

·      AdvancedRAG & Knowledge Base Engineering: Design and implement next-generation RAGsystems using Knowledge Graphs (GraphRAG), vector databases, and semanticsearch. Develop robust OCR pipelines for parsing complex, unstructureddocuments (e.g., contracts, compliance manuals) and multi-modal dataextraction.

·      AIAgent Architecture: Architect and deploy multi-agent systems (using frameworkslike LangChain, LlamaIndex, or AutoGen) where distinct AI agents can plan,reason, execute tools, and collaborate to solve complex enterprise tasks.

·      LLMIntegration & Optimization: Evaluate, fine-tune, and deploy various LargeLanguage Models (both closed-source like OpenAI/Anthropic and open-sourcemodels). Optimize prompts and reasoning chains to maximize accuracy andminimize latency.

·      Backend& Enterprise Integration: Build scalable backend services (primarily inPython, with Java/Spring Boot for legacy or enterprise integrations) to exposeAI capabilities via robust APIs.

·      Guardrails& Hallucination Mitigation: Implement strict logical guardrails, continuousevaluation frameworks, and "anti-hallucination" mechanisms to ensureall AI outputs are verifiable, strictly grounded in the proprietary knowledgebase, and compliant with enterprise security standards.

·      Performany ad-hoc duties assignedby the Company as required.

RequiredQualifications

·      Experience:3-5+ years in software engineering, with at least 1.5 - 2 years heavily focusedon LLM applications, generative AI, or complex NLP systems.

·      AI& Agent Frameworks: Deep hands-on experience with LangChain, LlamaIndex, orsimilar multi-agent orchestration frameworks.

·      DataParsing & Knowledge Representation: Proven expertise in OCR technologies(e.g., unstructured.io, PaddleOCR) for complex PDF parsing, and strongexperience with Vector Databases (e.g., Milvus, Qdrant, Pinecone) and GraphDatabases (e.g., Neo4j).

·      ProgrammingMastery: Expert-level proficiency in Python (the primary language for the AIstack). Familiarity with Java/Spring Boot is highly preferred to ensureseamless integration with our existing backend ecosystem.

·      LanguageProficiency: Professional fluency in English and Mandarin is mandatory toeffectively collaborate with our diverse technical stakeholders and regionalenterprise clients.

·      ProblemSolving: Strong architectural vision with the ability to translate complexbusiness compliance and expert knowledge into structured AI engineeringpipelines.

The"Alpha" Edge (Preferred & Bonus Qualifications)

·      DomainContext: Previous experience building AI products for Legal, HR, Compliance, orenterprise SaaS。

·      ModelDeployment: Experience with local LLM deployment and inference optimization(e.g., Ollama, vLLM, TensorRT-LLM).

·      MLOps:Familiarity with deploying AI pipelines on cloud infrastructure (AWS/GCP) usingDocker and Kubernetes.