Full Stack Engineer - Python (AI Platform)

location_onSingaporeschedule13 hours ago
badgeEmployment:Contract
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Job description

Full Stack Engineer – AI Platform

  • 12-month contract - Extendable
  • Immediate/short notice availability would be advantageous

Role Overview

We are looking for an experienced Full Stack Engineer to join a technology team working on AI and data-driven platforms. The successful candidate will be responsible for developing scalable applications and data solutions, working across backend, cloud, data engineering and AI/ML capabilities.

Key Responsibilities

  • Design, develop and maintain full-stack applications and scalable backend services.
  • Develop robust solutions using Python and modern software engineering practices.
  • Work with AWS cloud services to build, deploy and support cloud-based applications.
  • Develop and optimise SQL queries and work with large-scale datasets.
  • Work with Apache Spark / PySpark for large-scale data processing and transformation.
  • Collaborate with data scientists and AI/ML teams to integrate machine learning and AI capabilities into applications.
  • Contribute to projects involving LLM / Generative AI technologies.
  • Participate in system design, development, testing, deployment and ongoing optimisation.
  • Troubleshoot technical issues and ensure the reliability, scalability and performance of applications.
  • Work closely with cross-functional teams to understand requirements and deliver high-quality solutions.

Required Skills & Experience

  • Strong hands-on experience in Python development.
  • Solid experience in AWS and cloud-based application development.
  • Strong knowledge of SQL and relational databases.
  • Hands-on experience with Apache Spark / PySpark.
  • Experience working with data engineering, ML or AI-related projects.
  • Good understanding of software development lifecycle and engineering best practices.
  • Strong problem-solving and analytical skills.
  • Ability to work effectively in a collaborative, fast-paced environment.

Good to Have

  • Experience with Databricks.
  • Exposure to Machine Learning solutions and frameworks.
  • Experience working with LLMs / Generative AI.
  • Experience building or integrating AI/ML platforms.
  • Familiarity with modern DevOps, CI/CD and cloud deployment practices.

Skills mentioned

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