AI Solution Engineer

Shopee

Jakarta Pusat

On-site

IDR 167,400,000 - 446,400,000

Full time

2 days ago
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Job summary

Shopee invites experienced AI software engineers to join our internal AI platforms team in Indonesia. You will build, test, and maintain AI-enabled tools and services, and integrate language models into existing workflows to support project milestones.

You will collaborate with engineering, operations, and product teams, analyze data, test models, and develop APIs, dashboards, and data pipelines while monitoring performance and iterating for robust, scalable solutions.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 2+ years of software development or strong CS fundamentals.
  • Proficient in Python; Golang is a major advantage.
  • Solid CS fundamentals: algorithms, data structures, system design, ML basics.
  • Backend/cloud experience: APIs, databases, queues, production readiness.
  • Familiar with LangChain/LangGraph, Transformers, and OpenAI APIs.
  • Understanding of prompt engineering, embeddings, RAG, and multi-agent systems.
  • Experience deploying AI systems via APIs, containers (Docker), or cloud.
  • Analytical, proactive, curious, and collaborative mindset.

Responsibilities

  • Execute building, testing, and maintenance of AI-enabled tools and services for internal systems.
  • Implement and integrate language models and AI components into workflows to meet milestones.
  • Coordinate with engineering, operations, and product teams to drive AI adoption.
  • Analyze data, support model testing, evaluate performance, and assist integration.
  • Develop internal APIs, automation scripts, dashboards, and data pipelines.
  • Monitor deployed models and services, debug and iterate for robust deliverables.

Skills

Bachelor's degree in CS/Engineering
2+ years software development
Python proficiency
Strong CS fundamentals
Analytical/problem-solving mindset
Collaborative/work with teams

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Docker
APIs
Databases
Message queues
LangChain
LangGraph
Transformers
OpenAI APIs

Job description

Job Description
  • Execute the building, testing, and maintenance of AI-enabled tools and services for internal systems within the designated project phases.
  • Implement and integrate language models and advanced AI components into existing workflows and platforms to meet project delivery milestones.
  • Coordinate with cross-functional stakeholders, including engineering, operations, and product teams, to drive AI adoption and understand critical project use cases.
  • Analyze data, support model testing, evaluate performance, and assist in seamless model integration into internal systems.
  • Manage the development of internal APIs, automation scripts, dashboards, and data pipelines throughout the project lifecycle.
  • Monitor the performance of deployed models and services, proactively debugging and iterating to ensure robust project deliverables.
  • Execute the building, testing, and maintenance of AI-enabled tools and services for internal systems within the designated project phases.
  • Implement and integrate language models and advanced AI components into existing workflows and platforms to meet project delivery milestones.
  • Coordinate with cross-functional stakeholders, including engineering, operations, and product teams, to drive AI adoption and understand critical project use cases.
  • Analyze data, support model testing, evaluate performance, and assist in seamless model integration into internal systems.
  • Manage the development of internal APIs, automation scripts, dashboards, and data pipelines throughout the project lifecycle.
  • Monitor the performance of deployed models and services, proactively debugging and iterating to ensure robust project deliverables.
Requirements
  • Hold a Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • Possess 2+ years of professional software development experience (or strong computer science fundamentals for recent graduates).
  • Demonstrate strong proficiency in Python for AI or backend system development (Golang is a major advantage).
  • Show solid core CS fundamentals, including algorithms, data structures, system design, and basic machine learning principles.
  • Have proven experience in backend development and cloud-ready services (APIs, databases, and message queues).
  • Familiar with modern AI frameworks and tools (e.g., LangChain, LangGraph, Transformers, and OpenAI APIs).
  • Understand key AI methodologies, including prompt engineering, embeddings, Retrieval-Augmented Generation (RAG), and multi-agent systems.
  • Prior exposure to deploying production-ready AI systems via APIs, containers (Docker), or cloud infrastructure.
  • Exhibit a strong analytical and problem-solving mindset with a proactive willingness to experiment, learn, and iterate.
  • Maintain a genuine passion for engineering practical, reliable, and scalable AI solutions to address real internal business problems.
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