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Overview: Are you passionate about driving digital transformation and working with the latest IT technology? Join us at AvePoint, where you will play a crucial role in supporting public sector organizations to achieve their IT digitization strategies and roadmaps. If you thrive on challenges and want to make a significant impact, this could be the perfect opportunity for you! Securing the Future with AvePoint AvePoint is a global leader in data management and governance, trusted by over 21,000 customers worldwide to enhance their digital workplaces across Microsoft, Google, Salesforce, and other collaboration platforms. Our global channel partner program includes more than 3,500 managed service providers, value-added resellers, and systems integrators, with our solutions featured in over 100 cloud marketplaces. To learn more, visit www.avepoint.com . At AvePoint, we are dedicated to investing in our people. Our culture, driven by agility, passion, and teamwork, empowers you to shape your career, make a significant impact, and take ownership of your future. Discover how you can unleash your potential with us! What Will You Be Doing? As an IT Infrastructure Engineer, you will be responsible for the implementation, operation, and maintenance of application infrastructure services. You will ensure these services meet application requirements and business needs, and are aligned with industry standards and best practices. Your Responsibilities Will Include: Engage stakeholders to translate business requirements into application infrastructure design and services, ensuring availability, capacity, resiliency, security, and continuity requirements are met. Forecast budgets needed to support project initiatives and maintenance contracts. Work with service providers to design, develop, deploy, and configure IT application infrastructure projects to meet confidentiality, availability, and data integrity needs. Ensure compliance with technical architecture and application infrastructure standards. Manage the day-to-day delivery and support of application infrastructure services. Collaborate with other teams to facilitate and deliver application services. What Are We Looking For? We seek individuals who value agility, passion, and teamwork, and who are eager to bring fresh ideas to the table. If you are looking for the opportunity to learn, grow, and expand your career, this is the job for you. Desired Experience and Skills: Degree or Diploma in IT, Computer Science, or a related field. Minimum of 3 years of working experience for Engineer and 5 years for Senior Engineer roles. Hands-on experience in at least one full project development life cycle (Engineer level) or three full project development life cycles (Senior Engineer level). Ability to take a broad, strategic perspective as well as drill down to understand business needs and challenges. Results-oriented and customer-focused mindset. Team player with strong organizational and interpersonal skills. Excellent communication skills, both oral and written, with the ability to influence stakeholders. ITIL v3 Foundation certification preferred. Added Advantages: Experience with government projects. Knowledge of AWS/Azure and cloud-based services. Experience with Agile methodologies, project management, and stakeholder engagement. Familiarity with audit, quality management, and portfolio management practices. AvePoint is proud to employ talent from many different backgrounds, experiences, and identities. We believe that diversity and inclusion drives our success and is at the core of how we hire, communicate, and collaborate to deliver value and excellence. We are committed to fostering an environment where people can bring their whole selves to work and feel a sense of belonging, and we continue to work toward creating a workforce that represents the diversity of our customers and communities. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .

Job Summary Candidate should have extensive experience in Java development, Container technologies (Kubernetes, Openshift Container Platform), a strong background in solution architecture, and a deep understanding of payment systems. This role is crucial in driving technical excellence and leading our replatform project in Java Tech Stack. The ideal candidate will combine strong coding skills with leadership abilities to guide our development team and ensure high-quality software delivery. Key Responsibilities Review and analyse code submitted by vendors for quality, efficiency, and adherence to best practices. Provide detailed feedback and recommendations for code improvements. Collaborate with vendors to address identified issues and implement solutions. Ensure vendor-provided code meets our organisation's standards and requirements. Develop and maintain code review guidelines and processes. Work closely and collaborate with the Business Analysts and Quality Engineers/application testers for user stories elaboration, test automation, bug fixes etc. Participate in architectural discussions to influence system design. Work with deployment team/DevOps team on setting up continuous integration, build and release automation. Review of source code scan reports and work with vendors to address the issues. Involve in application deployment to the various environments. To work closely with key stakeholders from various business units to understand their business requirements and ensure that vendor translate the requirements into systems and applications architectural specifications. Stay updated with the latest Java technologies and industry trends and provide recommendations to the team. To continually research current and emerging technologies and propose appropriate changes. What we are looking for At least 2 years of experience serving as technical lead throughout the full software development lifecycle, from conception, architecture definition, detailed design, scoping, planning, implementation, testing to documentation, delivery and maintenance is preferred. Strong proficiency in software architecture principles, design patterns, and best practices. Hands-on experience in designing and developing reusable components, microservices, containers and Kubernetes. Sound knowledge of Java, Containers, shell scripts, various operating systems, and databases (Oracle). Other programming languages will be an advantage. Proven experience in DevOps and CI/CD adoption and deployment. Knowledge on OpenShift Container Platform will be an advantage. Knowledge on SWIFT architecture and its systems will be an advantage. Working experience in Singapore payments system will be an advantage. Certifications in relevant skills (e.g., Java, AWS solution architect, Kubernetes, etc.) will be an advantage. Relevant knowledge in change management and business process improvement would be an advantage. Ability to work with minimal supervision and adapt to a rapidly changing environment. Strong communication and interpersonal skills to work effectively with stakeholders. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .

Securing the Future with AvePoint AvePoint is a global leader in data management and governance, trusted by over 21,000 customers worldwide to enhance their digital workplaces across Microsoft, Google, Salesforce, and other collaboration platforms. Our global channel partner program includes more than 3,500 managed service providers, value-added resellers, and systems integrators, with our solutions featured in over 100 cloud marketplaces. To learn more, visit www.avepoint.com . At AvePoint, we are dedicated to investing in our people. Our culture, driven by agility, passion, and teamwork, empowers you to shape your career, make a significant impact, and take ownership of your future. Discover how you can unleash your potential with us! Job Summary We are seeking a talented Java Developer to join our dynamic team. In this role, you will lead the design, development, and implementation of scalable and high-performance microservices-based applications using technologies within the JAVA framework. You will be part of an agile team responsible for creating products used by the Financial Industry and supporting Financial Supervision functions. Key Responsibilities Solution the design and develop the software using waterfall/Agile methodology. Perform investigation, troubleshoot issues by developing scripts, SQL queries. Work closely and collaborate with the Business Analysts and System Analyst on requirements, test automation, and bug fixes etc. Work with deployment team/DevOps team on setting up continuous integration, build and release automation. Support production issues and duty rotation for after-office-hours support. Involve in application deployment to the various environments. What We Are Looking For Good understanding and completion of projects using waterfall/Agile methodology. Demonstrable skills in Java, Dot Net, development. Demonstrate knowledge of automated software testing methodologies such as unit testing, integration testing, functional testing, test driven development (TDD) and behaviour driven development (BDD). Demonstrate knowledge of creating packaging / build scripts with MSBuild, Maven, Docker etc. Ability to troubleshoot complex issues ranging from system resource to application stack traces. Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage. AvePoint is proud to employ talent from many different backgrounds, experiences, and identities. We believe that diversity and inclusion drives our success and is at the core of how we hire, communicate, and collaborate to deliver value and excellence. We are committed to fostering an environment where people can bring their whole selves to work and feel a sense of belonging, and we continue to work toward creating a workforce that represents the diversity of our customers and communities. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice . Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .

Beyond Secure. AvePoint is the global leader in data security, governance, and resilience, going beyond traditional solutions to ensure a robust data foundation and enable organizations everywhere to collaborate with confidence. Over 25,000 customers worldwide rely on the AvePoint Confidence Platform to prepare, secure, and optimize their critical data across Microsoft, Google, Salesforce, and other collaboration environments. AvePoint’s global channel partner program includes approximately 5,000 managed service providers, value-added resellers, and systems integrators, with our solutions available in more than 100 cloud marketplaces. To learn more, visit www.avepoint.com . Salesforce Developer Overview We are looking for a Salesforce Developer to join our team and support government and enterprise customers in their digital transformation journey. You will be responsible for the customization, extension, and integration of Salesforce, delivering solutions tailored to customer-specific requirements across Sales Cloud, Service Cloud, or other Salesforce modules. If you're passionate about solving real-world problems through scalable Salesforce solutions and have strong hands-on development skills, we’d love to hear from you. Experience & Skills Required Key Responsibilities: Work closely with customers, business analysts, and architects to understand requirements and translate them into technical designs Develop custom Salesforce components using Apex, LWC, Visualforce, SOQL, and Flow Customize standard and custom objects, workflows, approval processes, and validation rules Implement Salesforce integrations with external systems via REST/SOAP APIs, middleware, or third-party connectors Lead and mentor junior Salesforce developers on coding standards, design patterns, and troubleshooting Participate in technical planning, estimation, and code reviews Ensure solutions follow Salesforce best practices and comply with security and performance requirements Support data migration, sandbox deployment, and production rollout Requirements: 3+ years of hands-on Salesforce development experience Proficiency in Apex, LWC, Flow Builder, and Salesforce DX Experience working with Sales Cloud, Service Cloud, or other Salesforce modules Strong understanding of Salesforce platform architecture, security, and governor limits Experience with integrating Salesforce with external systems (REST/SOAP APIs, middleware) Familiarity with CI/CD tools for Salesforce (Gearset, Copado, Jenkins, etc.) Experience with Agile/Scrum methodologies Salesforce Platform Developer I certification required (Developer II or Architect certs preferred) Excellent communication and stakeholder engagement skills Education: Bachelor's degree or above Certifications: Required: Salesforce Platform Developer I Preferred: Platform Developer II, Sales Cloud Consultant, Service Cloud Consultant, JavaScript Developer I, Sharing & Visibility Designer, Integration Architect Bonus: Application Architect, System Architect (part of CTA path), Admin or Advanced Admin Preferred Qualifications: Experience working with public sector clients or in regulated environments Prior experience in Salesforce Community Cloud / Experience Cloud Knowledge of Data Loader, SOQL, and deployment tools Background in JavaScript, HTML/CSS for LWC components Familiarity with Salesforce AppExchange packages If you are looking for an opportunity to grow your career while working on meaningful projects, we would love to hear from you! Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .

Beyond Secure. AvePoint is the global leader in data security, governance, and resilience, going beyond traditional solutions to ensure a robust data foundation and enable organizations everywhere to collaborate with confidence. Over 25,000 customers worldwide rely on the AvePoint Confidence Platform to prepare, secure, and optimize their critical data across Microsoft, Google, Salesforce, and other collaboration environments. AvePoint’s global channel partner program includes approximately 5,000 managed service providers, value-added resellers, and systems integrators, with our solutions available in more than 100 cloud marketplaces. To learn more, visit www.avepoint.com . Salesforce Developer Overview We are looking for a Salesforce Developer to join our team and support government and enterprise customers in their digital transformation journey. You will be responsible for the customization, extension, and integration of Salesforce, delivering solutions tailored to customer-specific requirements across Sales Cloud, Service Cloud, or other Salesforce modules. If you're passionate about solving real-world problems through scalable Salesforce solutions and have strong hands-on development skills, we’d love to hear from you. Experience & Skills Required Key Responsibilities: Work closely with customers, business analysts, and architects to understand requirements and translate them into technical designs Develop custom Salesforce components using Apex, LWC, Visualforce, SOQL, and Flow Customize standard and custom objects, workflows, approval processes, and validation rules Implement Salesforce integrations with external systems via REST/SOAP APIs, middleware, or third-party connectors Lead and mentor junior Salesforce developers on coding standards, design patterns, and troubleshooting Participate in technical planning, estimation, and code reviews Ensure solutions follow Salesforce best practices and comply with security and performance requirements Support data migration, sandbox deployment, and production rollout Requirements: 3+ years of hands-on Salesforce development experience Proficiency in Apex, LWC, Flow Builder, and Salesforce DX Experience working with Sales Cloud, Service Cloud, or other Salesforce modules Strong understanding of Salesforce platform architecture, security, and governor limits Experience with integrating Salesforce with external systems (REST/SOAP APIs, middleware) Familiarity with CI/CD tools for Salesforce (Gearset, Copado, Jenkins, etc.) Experience with Agile/Scrum methodologies Salesforce Platform Developer I certification required (Developer II or Architect certs preferred) Excellent communication and stakeholder engagement skills Education: Bachelor's degree or above Certifications: Required: Salesforce Platform Developer I Preferred: Platform Developer II, Sales Cloud Consultant, Service Cloud Consultant, JavaScript Developer I, Sharing & Visibility Designer, Integration Architect Bonus: Application Architect, System Architect (part of CTA path), Admin or Advanced Admin Preferred Qualifications: Experience working with public sector clients or in regulated environments Prior experience in Salesforce Community Cloud / Experience Cloud Knowledge of Data Loader, SOQL, and deployment tools Background in JavaScript, HTML/CSS for LWC components Familiarity with Salesforce AppExchange packages If you are looking for an opportunity to grow your career while working on meaningful projects, we would love to hear from you! Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .

Job Description: Participate in the development of neural network, machine learning, NLP, and big data technologies for company products such as chatbots, search engines, and data analysis systems. Collect, clean, and prepare large-scale datasets for training AI models. Research and apply machine learning, deep learning, and big data technologies to build and enhance AI solutions. Evaluate model performance and propose optimization solutions. Develop and maintain AI related functions and features using C# and Python. Support other team members in projects and products implementation, particularly in integrating AI with big data technologies. Leverage and integration with AI services in cloud platforms, such as Google, AWS, Azure. Requirements: Bachelor’s degree in computer science, information technology, data science or a related field. Solid understanding of probability and statistics, discrete mathematics, and linear algebra. Knowledge of algorithms and data structures. Experience with at least one framework or library (e.g., TensorFlow, PyTorch) and one programming language (Python and C# preferred). Knowledge of big data processing tools like Hadoop and Spark, including concepts such as MapReduce and data parallelism. Strong learning attitude, enthusiasm for research and a passion for exploring new AI and big data technologies. Good communication skills and ability to work effectively in a team. Good English communication. Preferred: Experience participating in neural network, machine learning, NLP, big data related projects. Experience working with distributed databases, vector database and big data storage solutions. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .

Job Description: Participate in the development of neural network, machine learning, NLP, and big data technologies for company products such as chatbots, search engines, and data analysis systems. Collect, clean, and prepare large-scale datasets for training AI models. Research and apply machine learning, deep learning, and big data technologies to build and enhance AI solutions. Evaluate model performance and propose optimization solutions. Develop and maintain AI related functions and features using C# and Python. Support other team members in projects and products implementation, particularly in integrating AI with big data technologies. Leverage and integration with AI services in cloud platforms, such as Google, AWS, Azure. Requirements: Bachelor’s degree in computer science, information technology, data science or a related field. Solid understanding of probability and statistics, discrete mathematics, and linear algebra. Knowledge of algorithms and data structures. Experience with at least one framework or library (e.g., TensorFlow, PyTorch) and one programming language (Python and C# preferred). Knowledge of big data processing tools like Hadoop and Spark, including concepts such as MapReduce and data parallelism. Strong learning attitude, enthusiasm for research and a passion for exploring new AI and big data technologies. Good communication skills and ability to work effectively in a team. Good English communication. Preferred: Experience participating in neural network, machine learning, NLP, big data related projects. Experience working with distributed databases, vector database and big data storage solutions. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .

We are looking for a highly skilled AI Engineer specializing in Large Language Models (LLMs) and Agentic AI. You will architect, build, and deploy production-grade LLM applications — from intelligent knowledge bases and RAG systems to autonomous multi-agent workflows. You will work hands-on with open-source Chinese and international LLMs (DeepSeek, Qwen, Kimi, etc), implementing everything from model deployment and inference optimization to prompt engineering and agent orchestration. This is a builder role for someone who thrives at the intersection of research and engineering. KEY RESPONSIBILITIES LLM Application Development Design and develop enterprise LLM-powered applications: intelligent Q&A systems, enterprise knowledge base assistants, AI copilots, document analysis tools, and automated customer service agents. Architect and implement end-to-end RAG (Retrieval-Augmented Generation) systems: document parsing and chunking (recursive, semantic, agentic), embedding generation (BGE, M3E, GTE), vector retrieval (dense + sparse hybrid search), reranking (bge-reranker, Cohere Rerank), and response synthesis with source attribution. Develop and optimize Prompt Engineering strategies: chain-of-thought, tree-of-thought, few-shot prompting, structured output parsing (JSON mode / Pydantic), prompt templates (LangChain/LangSmith), and prompt version management. Knowledge in harness engineering, context management in ensuring LLM interactions and or AI agents reliable and deterministic. AI Agent & Multi-Agent Systems Design and build AI Agent systems using ReAct, Plan-and-Execute, Reflection, and multi-agent collaboration patterns. Implement Function Calling and tool-use capabilities, enabling agents to interact with external APIs, databases, and enterprise systems. Develop multi-agent orchestration using LangGraph, AutoGen, CrewAI, and other agent frameworks to solve complex enterprise tasks through agent collaboration. Design MCP (Model Context Protocol) integrations for standardized LLM tool interoperability. Open-Source LLM Deployment & Optimization Deploy and optimize latest version of open-source Chinese LLMs: DeepSeek, Qwen, and Kimi for on-premise and private cloud environments. Implement model inference optimization: quantization (GGUF/llama.cpp, GPTQ, AWQ, AutoAWQ, FP8/INT8), KV Cache optimization, continuous batching (vLLM, TensorRT-LLM, TGI, SGLang), speculative decoding, and tensor parallelism for high-throughput serving. Build and maintain model serving infrastructure using vLLM, TensorRT-LLM, Text Generation Inference (TGI), Ollama, Xinference, and SGLang; configure GPU resource scheduling with Kubernetes + GPU operators. AI gateway tools for routing, model tracking and load balancing such as TrueFoundry, Kubeflow, LiteLLM or Ray for heavy deep learning. Model Fine-Tuning & Customization Implement efficient fine-tuning pipelines using LoRA, QLoRA, DoRA, and full-parameter fine-tuning on proprietary domain-specific datasets. Prepare and curate instruction-following datasets, RLHF/RLAIF datasets, and evaluation benchmarks for domain adaptation. Evaluate fine-tuned models using automated benchmarks and LLM-as-a-Judge methodologies. Evaluation & Production Operations Build and maintain LLM evaluation frameworks: LLM-as-a-Judge, RAGAS, DeepEval, ARES, and custom task-specific metrics for continuous quality monitoring. Implement production monitoring for LLM systems: output quality tracking, latency/throughput metrics, cost monitoring, drift detection, and guardrail compliance. Design A/B testing frameworks for model comparison and prompt iteration. Implement LLM security guardrails: input/output filtering, PII detection, prompt injection defense, content moderation, and safety alignment. Research & Technical Leadership Track frontier AI research and evaluate emerging technologies (new model architectures, training techniques, inference methods) for enterprise adoption. Contribute to internal knowledge sharing: tech talks, documentation, and best-practice guides on LLM development. REQUIRED QUALIFICATIONS Bachelor's degree or above in Computer Science, Artificial Intelligence, Machine Learning, or related technical field. Master's or PhD in AI/ML preferred. 2+ years of professional experience in AI/ML engineering with demonstrated production deployment of LLM-based systems at scale. Deep understanding of Transformer architecture, attention mechanisms (MHA, GQA, MQA), and LLM pre-training / fine-tuning / inference paradigms. Expert proficiency in LLM application frameworks: LangChain, LlamaIndex, Haystack, or equivalent production-grade tools. Hands-on experience with RAG system development: vector databases (Milvus, ChromaDB, Qdrant, Weaviate, Pinecone, pgvector), embedding models (BGE, M3E, GTE, OpenAI, Cohere), reranking (bge-reranker, Cohere Rerank, cross-encoders), and advanced retrieval techniques (hybrid search, query expansion, HyDE). Practical experience deploying and tuning open-source Chinese LLMs: DeepSeek, Qwen, Kimi , or international models (Llama 3.x, Mistral, Mixtral, Gemma, Phi). Strong experience with model deployment and serving infrastructure: vLLM, TensorRT-LLM, TGI, Ollama, Xinference, SGLang; GPU resource scheduling (Kubernetes + GPU operators). Proficiency in model quantization and inference optimization: GGUF (llama.cpp), GPTQ, AWQ, AutoAWQ, FP8/INT8; knowledge of KV Cache optimization and memory-efficient attention (FlashAttention, FlashInfer, PageAttention). Solid programming skills in Python; experience with PyTorch, TensorFlow, or JAX; familiarity with FastAPI/Flask for building LLM API services. Experience with LLM evaluation methodologies, A/B testing frameworks, and production monitoring of AI systems. PREFERRED QUALIFICATIONS Experience with agent frameworks: LangGraph, AutoGen, CrewAI, OpenAI Assistants API, and multi-agent orchestration patterns. Familiarity with MCP (Model Context Protocol), OpenAI API specification, and multi-modal LLM capabilities (vision, audio). Experience with prompt optimization tools: DSPy, PromptLayer, LangSmith for systematic prompt engineering. Knowledge of model distillation and efficient transfer learning from large teacher models to smaller student models. Contributions to open-source AI projects or publications in NLP/LLM research venues. Experience with cloud GPU providers and cost optimization for LLM inference at scale. Access to high-performance GPU computing resources for model development and experimentation. Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .