jobs in ALPHA Z PTE. LTD.

ALPHA Z PTE. LTD. Hiring! Full Time AI Engineer in Central Region (Singapore), Earn up to SGD 7,000 - Ricebowl

AI Engineer

ALPHA Z PTE. LTD.

SGD7,000 - SGD7,000 Per Month

Central Region (Singapore)

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Working Location

  • 51 BRAS BASAH ROAD Central Region (Singapore) Singapore

Job Description

Responsibilities

Job Responsibilities

  • Build systems that integrate LLMs, optimization solvers, data processing, code execution, and user-facing workflows.
  • Develop backend services, APIs, task execution modules, data pipelines, and system components.
  • Build frontend interfaces, demos, dashboards, and interactive workflows for users.
  • Implement LLM-based workflows for problem understanding, code generation, debugging, result explanation, and user interaction.
  • Integrate optimization tools and solvers such as Gurobi, CPLEX, Pyomo, OR-Tools, CVXPY,or related frameworks.
  • Build safe and controllable environments for generated code execution, testing, and validation.
  • Support end-to-end product development, from requirement understanding and technical design to implementation, testing, deployment, and iteration.
  • Improve system reliability, usability, maintainability, scalability, and performance.
  • Work closely with research and business teams to translate technical ideas into products.

Job Requirements

  • Bachelor’s degree or Master’s degree in Computer Science, AI or a related field.
  • Strong software engineering skills and hands-on development experience.
  • Strong programming ability.
  • Experience with backend development, API design, databases, asynchronous tasks, testing, debugging, and deployment.
  • Familiarity with tools such as FastAPI, Flask, Django, Node.js, React, TypeScript, PostgreSQL, MongoDB, Redis, Docker, Kubernetes, cloud services, or CI/CD tools is a plus.
  • Experience with LLM tools and AI-assisted coding tools such as ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, LangChain, LlamaIndex, OpenAI API, Anthropic API, or related tools.
  • Ability to use LLMs in the loop for coding, debugging, testing, refactoring, documentation, and rapid prototyping.
  • Experience with optimization, operations research, data analytics, or machine learning engineering is a plus.

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