Job Responsibilities

1. Overseas Project Support

• Participate in user needs research and analysis within the fields of smart industry and smart city, identify pain points in user scenarios, and propose functional design solutions.

• Provide fluent language support for projects, assist in business follow‑up and tender processes, communicate with clients on business and technical matters, deliver solution presentations and product demos, and help develop tailored solutions.

2. Cross‑Regional Resource Coordination

• Act as a liaison between domestic delivery teams and overseas clients, track project progress and risk control to ensure smooth project execution.

• Provide translation and interpretation support for the company’s overseas projects to ensure accurate and timely information exchange.

3. Business Development & Client Relationship Management

• Proactively identify potential key accounts, establish contact through multiple channels, understand client needs, explore collaboration opportunities, and drive partnership intentions.

• Maintain stable client relationships through regular follow‑ups, gather feedback on product usage, promptly address client issues, and enhance satisfaction and loyalty to build long‑term partnerships.

• Engage in business negotiations, accurately understand client requirements, leverage company strengths, formulate effective negotiation strategies, secure favorable terms, and facilitate project cooperation.

• Represent the company at overseas exhibitions, seminars, and industry events, showcase products and solutions, engage with potential clients and partners, expand business channels, and enhance brand visibility.

4. Localization Adaptation

• Assist in preliminary market research and solution design for regions such as the Middle East and Southeast Asia, and support overseas teams in adapting solutions to local requirements.

Qualifications

1. Recent Master’s graduate in a STEM field or English; overseas study background is preferred.

2. English proficiency: CET‑6 600+, IELTS 7.0+, or TOEFL 100+. Able to deliver technical presentations fluently in English.

3. Curiosity about AI technology (basic understanding of concepts such as large language models and knowledge graphs is sufficient; expertise not required).

4. Familiarity with pain points in the energy industry and an interest in applications of digital twin and AI technologies.

5. Strong resilience under pressure and willingness to undertake frequent short‑term overseas trips.

Position Highlights

• Frontier Technology Implementation: Dive deep into the commercialization of AI technologies (LLMs, Multimodal AI, Knowledge Graphs) within industrial digital twin scenarios, driving the transition from lab concepts to scalable applications.

• Industry-Grade Product Development: Focus on high-value sectors like oil & gas, power grids, and smart cities, designing AI-driven industry solutions (e.g., pipeline risk prediction, emergency decision support).

• Global Perspective: Gain opportunities to engage with overseas clients from regions like the Middle East and Southeast Asia, participating in the definition and iteration of cross-border projects.

Job Responsibilities

Demand Insight & Product Design

1. Deeply understand business scenarios in sectors such as oil & gas, power grids, and smart cities. Investigate customer pain points in AI adoption and define functional requirements for AI features.

2. Leverage the capabilities of our digital twin platform (real-time rendering, multi-source data fusion, knowledge graphs) to design the product form of AI applications, creating prototypes and writing comprehensive PRDs.

3. Track cutting-edge AI technologies (e.g., large language models, multimodal perception, spatio-temporal prediction algorithms), regularly produce technical research reports, and identify innovative application opportunities for implementation.

End-to-End Product Lifecycle Management

1. Lead requirement reviews and scheduling coordination for AI feature modules, oversee development progress and quality, and ensure timely product launches.

2. Design user experience flows for AI applications, ensuring technical capabilities are translated into user-friendly business tools.

3. Evaluate product performance post-launch, gather customer feedback, and drive iterative optimizations to continuously enhance the value density of AI applications.

Cross-Team Collaboration & Innovation

1. Collaborate with R&D teams to define input/output standards and evaluation metrics for AI models, facilitating the alignment of models with business scenarios.

2. Work with domain experts to extract knowledge rules, construct industry knowledge graphs, and enhance the domain-specific expertise of AI applications.

3. Explore scenarios for integrating AI with other technologies and propose innovative cross-domain product solutions.

Qualifications

1. Education: Master's degree or above (exceptional Bachelor's graduates may be considered) in Computer Science, Software Engineering, Artificial Intelligence, Automation, Energy Engineering, Urban Planning, or related fields.

2. Familiar with AI application product development processes. Prior experience in designing products involving NLP/LLMs/Knowledge Graphs/Computer Vision is preferred (e.g., intelligent customer service, predictive models, digital humans).

3. Proficient with product design tools such as Axure/Figma/Sketch, capable of independently creating prototypes and writing requirement documents. Possess basic data analysis skills (SQL/Excel/Tableau) to validate product effectiveness through data.

4. Understand the business processes of at least one sector among oil & gas, power grids, or smart cities, and can quickly identify pain points solvable by AI.

5. Excellent logical thinking and user empathy, adept at translating complex technologies into clear product features, with strong cross-departmental (R&D/Algorithm/Business) communication and coordination skills.

Job Responsibilities:

1. Assist the team in conducting policy and market research on smart cities, industrial internet, and related vertical industries. Participate in writing and compiling Chinese and English industry reports.

2. Support customer needs assessment (including international clients), prepare solution materials (in Chinese and English), assist with product demos, and contribute to tender document preparation. Learn and master solution design methodologies.

3. Collaborate with project managers on requirement analysis, functional design, and documentation. Help drive project delivery and enhance customer satisfaction. Participate in cross-border project communication and coordination.

4. Contribute to the optimization and iteration of the solution framework. Assist in organizing standardized, modular solution templates and case libraries (in Chinese and English).

5. Support the team in developing smart city ecosystem partnerships, including liaising with international partners, conducting market research, and translating/compiling related materials.

6. Complete other assigned tasks, such as meeting minutes, preparing English reporting materials, etc.

Qualifications:

1. Master’s degree or above preferred. Majors in Hydraulic Engineering, Computer Science, Electronic Information, Urban Planning, Transportation Engineering, Automation, or related fields are advantageous.

2. Excellent English proficiency in listening, speaking, reading, and writing, capable of participating fluently in international meetings and drafting English proposals and technical documents. Preference given to candidates with IELTS 6.5+/TOEFL 90+/CET-6 550+ or equivalent certification. Overseas study, work, or project experience is a plus.

3. Familiarity with foundational concepts in smart cities, IoT, big data, AI, cloud computing, GIS, etc. Understanding of government digitalization, integrated city management, smart water, smart transportation, or related domains is preferred.

4. Strong written communication skills, with good presentation, facilitation, and interpersonal abilities.

5. Excellent bilingual (Chinese/English) writing skills, capable of independently drafting technical proposals, reports, and other documentation. Proficient in MS Office (Word, Excel, PowerPoint), Visio, and similar tools.

6. Logical thinking, fast learning ability, and adaptability to acquire new knowledge quickly.

7. Outstanding cross-cultural communication skills and strong team collaboration mindset.

8. Willingness to travel occasionally (including international trips) and adapt to project-driven schedules.

Career Path:

This role serves as a pipeline for future Solution Managers. Top performers will progressively take on independent pre-sales responsibilities, international project coordination, and cross-border team collaboration.

Position Highlights

• Hands-on Mentorship: You’ll be paired with a senior R&D mentor from day one, guiding you step-by-step to solve real R&D challenges with AI tools. Get up to speed on core projects within 3 months.

• Work on Real Projects: Contribute directly to company-level smart energy or smart city initiatives—your code will impact real business operations.

• Focus on Cutting-Edge “R&D Efficiency”: Say goodbye to repetitive CRUD tasks! Focus on optimizing R&D workflows with AI tools and become the go-to person who doubles team productivity.

• Tech + Domain Dual Empowerment: Gain free access to our in-house real-time rendering engine and digital twin OS (industry-grade platforms), work with real industrial data from sectors like oil & gas and power grids, and build high-value project experience.

• Fast-Track Growth: Dedicated career path for new graduates. Top performers can take on core module design within 1 year and lead small teams in 2–3 years.

Job Responsibilities

As an “AI Efficiency Assistant” in the R&D team, you will focus on the following:

AI Tool Learning & Scenario Adaptation

1. Learn and experiment with AI-assisted development tools under mentor guidance, exploring how to automate repetitive tasks in daily R&D work.

2. Propose and test small ideas for optimizing familiar workflows with AI tools.

End-to-End R&D Practice

1. Participate in the development of digital twin projects, taking charge of coding specific functional modules.

2. Use AI tools to assist development under mentor supervision, document efficiency improvements, and share insights with the team.

Toolchain Optimization Exploration

1. Follow up on team efficiency pain points, research AI tools with mentor guidance, and participate in developing or adapting simple tools.

2. Learn our in-house AI platform and digital twin system, and experiment with using AI tools to optimize your own development process.

Cross-Team Collaboration Introduction

1. Communicate with product and testing teams to understand requirements and learn how to translate business problems into technical tasks. Use AI tools to help clarify and organize requirements, improving communication efficiency.

What We Look For

• Education & Major: Recent master’s graduates (preferred majors: Computer Science, AI, Software Engineering, etc.). Outstanding undergraduates (top 30% academically or with technical project experience) are also welcome to apply.

• Core Competencies:

  1. Proficient in at least one programming language (Python/C++/Java, Python preferred).

  2. Familiar with basic R&D processes; course projects or internship experience (even small tool development) is a plus.

  3. Interested in AI technology (understanding concepts like LLMs and code generation is enough—no need to be an expert), willing to actively learn and use AI tools to solve practical problems.

  4. Curious, eager to explore “how to work smarter,” and passionate about turning ideas into code.

• Preferred Qualifications:

  1. Experience with AI-assisted tools (e.g., GitHub Copilot, ChatGPT for coding/research) or having built small tools/scripts with AI.

  2. Course projects/competition experience (e.g., mathematical modeling, hackathons, AI app development) or open-source contributions (even a single PR counts).

  3. CET-4 passed (able to read English technical documentation) or willing to learn from English AI materials.

  4. Proactive communicator who enjoys sharing small wins like “I saved an hour today using an AI tool.”

Special Support We Provide

• Growth Support:

  1. 1-on-1 Mentor: Assigned a senior R&D engineer (5+ years experience) for hands-on guidance, with weekly progress reviews.

  2. New Graduate Bootcamp: Two-week intensive training upon joining (covering company tech stack, AI tool basics, R&D workflows) for a smooth onboarding.

  3. Internal Knowledge Base: Access to outstanding projects delivered by past graduates—learn from the best.

• Benefits & Perks:
  4. Basics Covered: Social insurance & housing fund, Beijing household registration (eligible graduates may apply), meal + housing + communication allowances.
  5. Growth Incentives: Project bonuses (for contributing to key projects), year-end performance rewards.
  6. Life Care: Holiday gifts (Dragon Boat Festival/Mid-Autumn/Chinese New Year), marriage/childbirth bonuses.
  7. Flexibility: Multiple office locations available (Beijing/Chengdu/Nanjing/Xi’an—assigned based on preference). Youthful office environment with a super-friendly team vibe!

In a Nutshell: What You’ll Gain Here

• Real Technical Experience: No “grunt work”! Engage directly in real industrial projects, use AI tools to solve R&D challenges, and build highly valuable experience.

• Fast-Track Growth: Learn hands-on from senior mentors, take on core tasks in 3 months, own independent modules within a year, and potentially become a technical backbone in 1–2 years post-graduation.

• Rewards & Care: Competitive salary aligned with top tech company standards for graduates, household registration + allowances to ease your transition, and a supportive “tech family” atmosphere.

• Future Potential: Digital twin + AI tools are industry trends. The skills you learn here—AI-driven efficiency, industrial scenario development—will remain in high demand for the next 5+ years.

If you’re a recent graduate curious about AI, eager to solve real problems with development skills, and looking for a team that will help you grow quickly—Raychange is the perfect place to start!

Position Highlights

• Focus on R&D Efficiency: Tackle efficiency bottlenecks across the entire R&D lifecycle by developing and applying AI tools tailored to digital twin and industrial scenario needs.

• Deep Technology Integration: Develop highly reliable AI applications for business scenarios such as oil & gas, power grids, and smart cities, accelerating deployment through optimized toolchains.

• Top-Tier Platform Support: Build high-performance AI tools and solutions leveraging our in-house real-time rendering engine, the DTC Digital Twin OS, and massive industrial datasets.

Job Responsibilities

AI Toolchain Development & R&D Efficiency

1. Identify pain points within R&D teams, research/introduce or develop AI tools, design implementation plans, and drive engineering adoption.

2. Integrate AI tools into existing R&D workflows to optimize efficiency across the entire development lifecycle.

3. Continuously evaluate the effectiveness of AI tools, iteratively improve features based on data-driven insights, and establish a "tool-feedback-optimization" loop.

Core AI Application R&D

1. Research and develop suitable AI algorithms/models for industrial digital twin scenarios; utilize toolchains for efficient model training and deployment.

2. Develop core functional modules for AI applications, leveraging AI tools to assist in code generation, architecture design, and performance optimization to enhance R&D productivity.

3. Collaborate with algorithm teams to accelerate model iteration using AI tools, ensuring real-time responsiveness within the digital twin platform.

Cross-Team Collaboration & Tool Promotion

1. Work closely with R&D and product teams to identify efficiency pain points throughout the development process, and design/promote targeted AI efficiency tools.

2. Organize internal tool training and best-practice sharing sessions to empower team members in using AI tools, fostering a highly collaborative "human + tool" workflow.

3. Stay updated on the latest trends in AI engineering, and introduce new technologies to optimize the existing toolchain.

Qualifications

1. Education: Master's degree or above (exceptional Bachelor's graduates may be considered) in Computer Science, Artificial Intelligence, Software Engineering, Automation, Electronic Information, or related fields.

2. Familiarity with AI-assisted development tools and hands-on project experience in improving efficiency through AI tools.

3. Understanding of fundamental deep learning/machine learning theories (e.g., neural networks, time-series models, LLMs); proficiency in at least one mainstream framework (PyTorch/TensorFlow); experience in model training/fine-tuning or engineering deployment is preferred.

4. Ability to quickly identify efficiency bottlenecks in R&D processes and propose targeted solutions using AI tools or technical approaches. Strong cross-team communication skills.

5. Excellent coding and problem-solving abilities, capable of independently handling the complete pipeline from data preprocessing to model deployment. Proficiency in writing clear technical documentation.

Preferred Qualifications (Pluses)

1. Experience in AI toolchain development.

2. Involvement in projects related to large language model fine-tuning, knowledge graph construction, multimodal model training, or industrial AI application deployment.

3. Published papers in AI engineering/toolchain-related areas or maintain tool-class open-source projects on platforms like GitHub.