Software Engineer - Backend 後端工程師

Job updated 2 months ago

Job Description

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  1. DecanterAI Maintenance and Feature Development: Ongoing maintenance of the company's flagship analytics product, DecanterAI, and development of new features to enhance its performance.
  2. CI/CD Pipeline Design and Implementation: Designed and implemented CI/CD pipelines to ensure product stability and high availability.
  3. Collaboration with Data Science Team: Worked closely with the data science team to co-develop new features, enhancing the intelligence and data processing capabilities of the product.

Requirements

Education

  • Degree: Bachelor's degree or above in Computer Engineering, Computer Science, or related fields.


Professional Skills

  1. Operating Systems: Experienced with Linux-based operating systems.
  2. Python Programming: Proficient in Python with experience working on related web ecosystem (e.g. FastAPI, Flask, etc.).
  3. Containerization Technology: Hands-on experience with containerization technologies.
  4. Databases and Caching Services: Strong experience in database design and caching services.
  5. Networking Technologies and Protocols: Understanding of fundamental networking technologies and tools, including TCP, HTTP, DNS, gRPC, RESTful API.
  6. Engineering Best Practices: Understanding of software engineering principles, including Clean Code and Clean Architecture.

Interview process

  1. 線上技術測驗
  2. 一面
  3. 二面
  4. RC
1
1 years of experience required
Negotiable
Optional Remote Work
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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

Team

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團隊成員
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Executive Secretary

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