Full Stack Engineer - Python (AI Platform)

ARGYLL SCOTT CONSULTING PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

ARGYLL SCOTT CONSULTING PTE. LTD. is seeking a Full Stack Engineer to join an AI Platform team for a 12-month contract with extension possibilities. The role focuses on building scalable applications and data solutions, spanning backend, cloud, data engineering and AI/ML capabilities.

You will collaborate with data scientists and AI/ML teams to integrate machine learning and Generative AI features, leveraging AWS, Spark/PySpark and SQL on large datasets.

Qualifications

• Strong Python development experience and hands-on coding.
• Solid AWS and cloud-based application development knowledge.
• Strong SQL skills and relational database experience.
• Hands-on Spark/PySpark for large-scale data processing.
• Experience with data engineering, ML or AI projects.
• Solid understanding of SDLC and engineering best practices.
• Excellent problem-solving and analytical skills.
• Ability to work collaboratively in a fast-paced environment.

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 into applications.
• Contribute to projects involving LLM / Generative AI technologies.
• Participate in system design, development, testing, deployment and optimisation.
• Troubleshoot technical issues and ensure reliability, scalability and performance.
• Work closely with cross-functional teams to understand requirements and deliver high-quality solutions.

Skills

Python

AWS

SQL

Spark/PySpark

Data eng/ML/AI

SDLC

Problem-solving

Collaboration

Tools

Databricks

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.