初意智慧股份有限公司

Position Overview We are looking for a highly skilled and motivated Backend Engineer to join our dynamic team. The ideal candidate will have a strong background in backend development, with a focus on AI systems and applications. You will be responsible for designing, developing, and maintaining the backend infrastructure that powers our innovative AI products and services. Responsibilities • Develop and maintain scalable, efficient, and secure backend services for AI systems • Implement and manage databases, ensuring data integrity and efficiency • Design and integrate APIs for seamless communication between AI applications and other services • Optimize backend systems for performance, reliability, and scalability. • Work closely with frontend developers, data scientists, and other stakeholders to ensure e2e quality • Write clean, maintainable, and testable code, following best practices and development standards • Implement security measures to protect data and systems from threats • Documentation: Maintain thorough documentation for backend processes and systems • Stay updated with the latest technologies and methodologies related to AI and backend development • Problem-Solving and troubleshoot capability Must-Have Qualifications: 1. Bachelor's degree or above in Computer Science, Software Engineering, or a related field. 2. Familiarity with at least one backend programming language, such as Typescript, Python, Java,... (Typescript is a plus). 3. Experience working with SQL databases (e.g., MySQL, PostgreSQL). 4. Backend Testing: Experience writing backend tests (e.g., unit tests, integration tests, API tests). 5. Scale: Experience in handling high volume/high scale system 6. API Development: Understanding of and experience in developing RESTful APIs. 7. Problem-Solving Skills: Good analytical and problem-solving abilities. 8. Teamwork: Strong communication and collaboration skills. Nice-to-Have Qualifications: • Cloud Services: Familiarity with any major cloud platform (AWS, Azure, Google Cloud). • Containerization: Understanding or experience with containerization tools like Docker. • Microservices: Experience with microservices architecture. o Basic understanding of Machine Learning or Data Science concepts. o Experience developing backend systems for AI-related applications. • Work Attitude: Ability to adapt to a fast-paced environment, attention to detail, and a commitment to quality. About Us At Truley.AI, we develop AI-powered business and enterprise agents and solutions to assist organizations in improving productivity by accelerating and managing workflows. Our offerings include intelligent meeting assistants, comprehensive resource and knowledge-based management systems, customer support, and customizable workflows for any organization. AI agent-based solutions are transforming business operations. With advances in AI technologies, AI agents are expected to become common in various business segments. Our product vision and strategy focus on developing AI-based companions for business users to enhance productivity and facilitate daily work tasks. For internal engineering development and processes, we use AI tools to support more efficient and agile development. As an early-stage startup, we are at the forefront of AI innovation, developing cutting-edge technologies that solve real-world problems and enhance user experiences. We value creativity, ownership, collaboration, and excellence. Our team is small yet driven, and we seek individuals who share our mindset and excel in a fast-paced, agile environment while addressing complex challenges. We strive to create an environment where our team members can thrive and grow professionally. Founder was a Partner Director of Engineering at Microsoft corporate headquarters. He has extensive and deep experience and knowledge on research and development, proven track record of data driven based product delivery, engineering process, and people management.

Position Overview We are looking for a highly skilled and motivated Front End Engineer to join our dynamic team. The ideal candidate will have a strong background in front end development, with a focus on AI systems and applications. You will be responsible for designing, developing, and maintaining the user interface that powers our innovative AI products and services. Responsibilities Design and Development: Develop and maintain scalable, efficient, and user-friendly front end services for AI systems User Experience: Implement and manage user interfaces, ensuring a seamless and intuitive user experience Collaboration: Work closely with backend developers, data scientists, and other stakeholders to ensure integration and functionality. Code Quality: Write clean, maintainable, and testable code, following best practices and development standards. Security: Implement security measures to protect data and systems from threats. Documentation: Maintain thorough documentation for front end processes and systems. Research and Development: Stay updated with the latest technologies and methodologies related to AI and front end development. Problem-Solving: Troubleshoot and resolve issues that arise in the front end systems. Qualifications Educational Background: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Must-Have Qualifications: Core Web Technologies: Proficiency in HTML, CSS, and JavaScript. Modern Frontend Frameworks & TypeScript: Experience developing with at least one modern JavaScript framework or library (e.g., React, Angular, Vue.js) and TypeScript. Advanced Frameworks/Tools Experience: Development experience with modern frontend technologies such as Next.js or TailwindCSS. Frontend Testing: Experience writing frontend tests (e.g., unit tests, integration tests). API Integration: Understanding of how to integrate and consume RESTful APIs. Problem-Solving & Collaboration: Good analytical and problem-solving abilities, along with strong communication and teamwork skills. Nice-to-Have Qualifications: Cross-Platform Development: Experience with Flutter for cross-platform app development. Agile Development: Familiarity with or participation in Agile development methodologies. Soft Skills: Ability to adapt to a fast-paced environment, attention to detail, and a commitment to code quality. About Us At Truley.AI, we develop AI-powered business and enterprise agents and solutions to assist organizations in improving productivity by accelerating and managing workflows. Our offerings include intelligent meeting assistants, comprehensive resource and knowledge-based management systems, customer support, and customizable workflows for any organization. AI agent-based solutions are transforming business operations. With advances in AI technologies, AI agents are expected to become common in various business segments. Our product vision and strategy focus on developing AI-based companions for business users to enhance productivity and facilitate daily work tasks. For internal engineering development and processes, we use AI tools to support more efficient and agile development. As an early-stage startup, we are at the forefront of AI innovation, developing cutting-edge technologies that solve real-world problems and enhance user experiences. We value creativity, ownership, collaboration, and excellence. Our team is small yet driven, and we seek individuals who share our mindset and excel in a fast-paced, agile environment while addressing complex challenges. We strive to create an environment where our team members can thrive and grow professionally. Founder was a Partner Director of Engineering at Microsoft corporate headquarters. He has extensive and deep experience and knowledge on research and development, proven track record of data driven based product delivery, engineering process, and people management.

Position Overview We are looking for a highly skilled and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, with a focus on developing and deploying ML models and systems. You will be responsible for designing, developing, and maintaining the infrastructure that powers our innovative AI products and services. Responsibilities Model Evaluation: Understanding of and experience in evaluating machine learning models, including running benchmarks. Data Management: Implement and manage datasets, ensuring data integrity and efficiency. Algorithm Optimization: Optimize machine learning algorithms for performance, reliability, and scalability. Collaboration: Work closely with data scientists, backend developers, and other stakeholders to ensure integration and functionality. Code Quality: Write clean, maintainable, and testable code, following best practices and development standards. Documentation: Maintain thorough documentation for machine learning processes and systems. Research and Development: Stay updated with the latest technologies and methodologies related to machine learning and AI. Must-Have Qualifications Educational Background: Master's degree in Computer Science, Machine Learning, or a related field. Programming Languages: Familiarity with at least one programming language commonly used in machine learning, such as Python, R, or Java. ML Frameworks: Experience working with machine learning frameworks (e.g., TensorFlow, PyTorch). Domain Knowledge: Strong foundation in Multimodal AI and Information Retrieval, with hands-on experience in LLM, RAG and agent-based architectures. AI infra: Experience working on backend infrastructure for model serving or AI workloads. Data Handling and Analysis: Experience in handling large datasets and data processing, data science/analysis skills and techniques for data driven works. Problem-Solving Skills: Good analytical and problem-solving abilities. Teamwork: Strong communication and collaboration skills. Nice-to-Have Qualifications Cloud Services: Familiarity with any major cloud platform (AWS, Azure, Google Cloud) Experience developing machine learning systems for AI-related applications. Agile Development: Familiarity with or participation in Agile development methodologies Work Ethic: Ability to adapt to a fast-paced environment, attention to detail, and a commitment to quality About Us At Truley.AI, we develop AI-powered business and enterprise agents and solutions to assist organizations in improving productivity by accelerating and managing workflows. Our offerings include intelligent meeting assistants, comprehensive resource and knowledge-based management systems, customer support, and customizable workflows for any organization. AI agent-based solutions are transforming business operations. With advances in AI technologies, AI agents are expected to become common in various business segments. Our product vision and strategy focus on developing AI-based companions for business users to enhance productivity and facilitate daily work tasks. For internal engineering development and processes, we use AI tools to support more efficient and agile development. As an early-stage startup, we are at the forefront of AI innovation, developing cutting-edge technologies that solve real-world problems and enhance user experiences. We value creativity, ownership, collaboration, and excellence. Our team is small yet driven, and we seek individuals who share our mindset and excel in a fast-paced, agile environment while addressing complex challenges. We strive to create an environment where our team members can thrive and grow professionally. Founder was a Partner Director of Engineering at Microsoft corporate headquarters. He has extensive and deep experience and knowledge on research and development, proven track record of data driven based product delivery, engineering process, and people management.

Position Overview We are seeking a motivated and experienced DevOps Engineer to join our dynamic, fast-growing startup specializing in AI-driven services and solutions. As a key member of our technical team, you will play a crucial role in designing, building, and maintaining the infrastructure that powers our AI applications and products. This is an opportunity to shape the future of our platform, influence our engineering culture, and help deliver innovative, reliable, and scalable AI services to our global clients. Key Responsibilities ● Infrastructure Automation & Management: Design, implement, and manage scalable, secure, and highly available cloud-based infrastructure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. ● CI/CD Pipeline Development: Build, optimize, and maintain continuous integration and continuous deployment (CI/CD) pipelines to ensure rapid, reliable delivery of software and AI models. ●Monitoring & Reliability: Establish and maintain monitoring, logging, and alerting solutions to ensure system health, performance, and availability. Implement proactive measures to prevent outages and minimize downtime. ●Collaboration: Work closely with software engineers, data scientists, and product managers to understand project needs and deliver the necessary infrastructure and deployment tools. ●Security & Compliance: Implement and maintain robust security practices, including access controls, network security, vulnerability management, and compliance with relevant standards (e.g., SOC2, GDPR). ●Cost Optimization: Analyze cloud usage and optimize infrastructure costs while maintaining performance and reliability. ●Documentation & Knowledge Sharing: Produce clear, comprehensive documentation for infrastructure, automation scripts, and operational procedures. ●Advocate for best practices and mentor junior team members. Incident Response: Lead and participate in incident response activities, root cause analysis, and post-mortem reporting to ensure continuous improvement. ●Tooling & Automation: Identify, evaluate, and introduce tools that enhance operational efficiency, security, and scalability. ●Scalability & Performance: Proactively identify bottlenecks and architect solutions for scalability to support the rapid growth and increasing demands of AI workloads. Required Qualifications ●Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent professional experience). ●2+ years of experience as a DevOps Engineer or in a similar role, ideally in a startup or fast-paced environment. ●Strong expertise with cloud platforms such as AWS, Google Cloud Platform, or Azure. ●Proficiency with Infrastructure as Code tools (e.g., Terraform, CloudFormation, or Ansible). ●Experience building and maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI, CircleCI, or GitHub Actions. ●Solid understanding of containerization technologies, especially Docker and orchestration tools like Kubernetes or ECS. ●Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, ELK Stack, Datadog). ●Experience with scripting languages such as Python, Bash, or Go. ●Strong understanding of network protocols, security best practices, and cloud security architectures. ●Comfortable working in a Linux/Unix environment. ●Excellent problem-solving skills, attention to detail, and a proactive mindset. ●Strong communication skills and ability to collaborate in a multidisciplinary team. ●Enthusiasm for start-up environments, flexible mind-set, and ability to adapt to changing priorities.