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(Senior) Project Full stack engineer (資深) 專案全端工程師
Job Description
＊請至 【https://mobagel.typeform.com/to/ojShbwVv】 投遞履歷，謝謝你的協助＊
1. Extensive experience in full stack development, with a portfolio demonstrating proficiency in both front-end and back-end technologies.
2. Strong foundation in cloud computing, LLMs, and modern web development frameworks and tools.
3. Expertise in UI/UX design principles and tools, with a proven track record of delivering user-centric solutions.
4. Familiarity with AI technologies, particularly in the areas of prompt engineering and multimodal systems.
5. Ability to lead projects, collaborate effectively with diverse teams, and communicate complex technical concepts clearly.
6. Commitment to continuous learning, staying abreast of the latest industry trends and technologies.
Requirements
[Requirements]
1. Bachelor degree or above in computer engineering/computer science or related fields.
2. Experience with Linux based OS (CentOS, Ubuntu, Arch Linux, etc.).
3. Experience with an OS scripting language.
4. Familiar with Python and non-trivial Python package (e.g. Jinja2, Pandas, FastAPI, Flask, etc.).
5. Experience with containerization technology.
6. Experience with database and caching services.
7. Experience in HTML5, CSS3, JavaScript.
8. Familiarity with React.JS and realize to write maintainable code structure.
9. Good communication skill and ability to work independently.
10. Able to design data schema based on requirements, discuss with back end engineer on DB schema and API format.
[Nice to Have]
1. Expert in scalable networking design, including high availability, redundancy, failover, and load balancing.
2. Expertise in MongoDB and Redis.
3. Expertise in Kubernetes.
4. Expertise in Docker.
5. Expertise in database internals, database language theories, database design, SQL and database programming.
6. Knowledge of fundamental networking technologies, protocols and tools (TCP, HTTP, DNS, gRPC, RESTful API, iptables, Wireshark).
7. Leadership experience or volunteer experience.
8. Experience in Typescript.
9. Experience in front-end performance tuning.
10. Experience in coding reviews to ensure the quality of the source code.
Interview process
1.技術測驗：線上測驗
2.一面：技術主管面談
3.二面：部門主管面談
4.Reference Check
About us
Company Overview
MoBagel is a key vendor of a no-code AI/ML platform, as recognized by Gartner in 2020, 2021, and 2022. Decanter AI, the no-code AI/ML platform, empowers data scientists and domain experts to design and build AI solutions together. Through partnerships with key partners such as Dentsu Group, Deloitte and JETRO to build no-code AI solutions together, Decanter AI has quickly accumulated over 100,000 users and is well-positioned to continue driving innovation and growth for sustainability.
MoBagel is an AI startup based in Silicon Valley, founded by AI scientists from Stanford and UC Berkeley in 2015. MoBagel provides a generative AI platform and various enterprise-level AI Agents designed to enhance data-driven decision-making and business process automation. Recognized by Gartner for the past five years, MoBagel's platform empowers over 11,000 brands across industries such as sales and marketing, supply chain, finance, and manufacturing, all driven by our vision to "Build AI Together and Beyond."Here are some of the credits that MoBagel has received:
- 2024 Emerging Tech Impact Radar: Artificial Intelligence
- 2024 Hype Cycle for Environmental Sustainability
- 2024 Hype Cycle for Data, Analytics and AI Programs and Practices
- 2024 Gartner’s Hype Cycle Builder in AI Innovation
- 2023 Market Guide for Augmented Analytics
- 2023 Hype Cycle for Environmental Sustainability
- 2023 Hype Cycle for Data and Analytics Programs and Practices
- 2022 Hype Cycle : AI For Sustainability
- 2022 Emerging Tech Impact Radar: Artificial Intelligence
- 2022 Emerging Tech Impact Radar: Robotic & Automation
- 2022 Market Guide for Augmented Analytics
- 2022 Market Guide for AI Startups
- 2021 Augmented Analytics BI and Data Science Solution
- 2020 Top10 Strategic Technology Trends - AI Democratization2019 Microsoft Accelerator (Taipei) Batch 1 Taipei Acceleration Program
- 2019 loT World Startup Elevate Pitchoff Winner, Pitch Group 4: loT Capabilities: AI & Machine Learning and Security
- 2016 Nokia Open Innovation Challenge 2016 （Europe）The top 3 winning teams
- 2016 SoftBank Innovation Program 1st Round Winners, 2016 G-Startup Worldwide SV Global Final Top 15
- 2016 Slush Asia 2016 Top 5
- 2016 G-Startup Worldwide Beijing Top 50
- 2014 Salesforce 1M Hackathon 6th place
