A marketplace of instructor-created courses across technology, business and creative skills.
AI Full Stack Engineer – Integration & GenAI
Get alerts for roles like this
More AI Full Stack Engineer – Integration & GenAI roles in Singapore — straight to your inbox. No account needed.
Applying to this role? Tailor your résumé to this job description in one click, then download it free — just a small ResumeKart footer, no subscription.
Job Description
AI Full Stack Engineer – Integration & GenAI Responsibilities Analyze business and technical requirements and translate them into end-to-end system, data flow, and integration designs. Design and develop REST APIs, SFTP, file-based interfaces, and batch integrations across upstream and downstream enterprise systems.
Develop Python scripts and backend services for data extraction, transformation, validation, automation, and system integration. Design and implement reliable data pipelines and data movement across enterprise platforms, Data Lake, and downstream applications.
Perform data mapping, transformation, aggregation, reconciliation, and data quality validation to ensure accurate data delivery. Support GenAI and RAG use cases through document ingestion, data preparation, enrichment, transformation, and AI-ready data pipelines.
Develop and maintain application components using Python, SQL, Celery, HTML, Jinja, and TypeScript. Support SIT, UAT, deployment, production troubleshooting, incident resolution, and application enhancements.
Work with Docker, Kubernetes/OpenShift, CI/CD, Git, Jenkins, Control-M, and monitoring tools to ensure reliable application delivery. Collaborate with business, application, data, infrastructure, security, and architecture teams to resolve issues and deliver scalable solutions.
Requirements
Minimum of 3 years relevant experience in System Analysis, Integration Engineering, Data Engineering, Full Stack Engineering, or Technical Delivery roles. Strong hands-on experience in Python and SQL for development, data handling, automation, integration, and troubleshooting.
Practical experience developing and integrating REST APIs, SFTP, batch processes, and file-based interfaces. Strong understanding of data mapping, transformation, aggregation, reconciliation, data quality, and enterprise data flows.
Experience with enterprise data platforms such as Informatica, Cloudera, Data Lake, or similar technologies. Good knowledge of Celery, Docker, Ku
Required Skills
Upskill for This Role
Courses from Udemy and edX matched to this role's skills.

【한글자막】 Python 에서의 데이터 조작 : Pandas 완벽 단기 특강

OpenAI Agents SDK Mastery Journey in Python

Intro to Data Analysis with Python

FastAPI Essentials for Python Developers

Python Programming: A Hands-on Introduction

Programmez des applications web Python avec Flask
ResumeKart may earn a commission from these links at no extra cost to you.
Partner picks for AI Full Stack Engineer – Integration & GenAI in Singapore
Matched to the skills this page calls for and the candidate's location.
- UdemyVerified partnerPartner course providercovers pythoncovers sqlcovers docker
- Partner competition
Coding challenges, hackathons and developer assessments.
covers pythoncovers sqlBengaluruVisit partner → - Partner course provider
Structured programmes for software engineers, data science and DevOps.
covers pythoncovers kubernetesBengaluruVisit partner →
Partners are ResumeKart affiliates or institutes it works with; ResumeKart may earn a commission when a candidate enrols. Placement is decided by relevance, not payment. How ResumeKart earns
Similar Jobs
Other open roles matched to this job's skills and location.
Prepare to Win This Role
Everything you need to ace the interview and negotiate top-of-band compensation.