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Field:Technical & Engineering Employer:Skytanking

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KFZ-Mechaniker im Minijob
Skytanking · Part time · Düsseldorf, Nordrhein-Westfalen, Germany
Ihre Aufgaben Bereit für ein außergewöhnliches Arbeitsumfeld? Als weltweit führender Experte in der Flugzeugbetankung sorgt Skytanking für reibungslose Abl…
Posted 2 months agoAircraft Maintenance & MRO
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Full Stack Developer

Changi Airport Group · Singapore

Apply on Changi Airport Group Full posting

Field: IT & Digital
Location: Singapore
Posted: 16 days ago

About the role

An exciting opportunity awaits at Changi Digital Factory, driving the digital transformation ofChangi Airport Group. As part of an agile, cross-functional squad, you will contribute to thedesign and development of digital products and AI-enabled solutions that support airportoperations and commercial initiatives. Working alongside Product Owners, UX designers,engineers, and business stakeholders, you will deliver solutions that enhance businessoperations and the passenger experience. Responsibilities Develop and maintain full stack web applications using modern technologies. Leverage AI-assisted development tools to improve engineering productivity and codequality. Develop backend services, RESTful APIs, user interfaces, and integrations with internal andexternal systems. Collaborate with Product Owners, UX designers, business stakeholders, and engineers todeliver technical solutions. Design, develop, test, deploy, and support cloud-native applications on AWS. Build AI-enabled solutions integrating Large Language Models (LLMs) and AI agents whereappropriate. Evaluate AI outputs and improve solution accuracy and user experience. Troubleshoot application issues and deliver reliable, scalable solutions. Participate in agile delivery and knowledge sharing. Requirements Around 1–3 years of experience in full stack application development. Proficiency in Python and/or JavaScript/TypeScript. Familiarity with React or Next.js. Basic understanding of backend development, RESTful APIs, and relational or NoSQLdatabases. Exposure to AWS. Experience with services such as Lambda, API Gateway, DynamoDB, RDS,S3, Cognito, SNS, SQS, Bedrock, or AgentCore is an advantage. Familiarity with Infrastructure as Code (AWS CDK or Terraform) and CI/CD tools (Git, GitHubActions, or similar) is a plus. Basic understanding of generative AI concepts, including prompt design, LLM integration, AIagents, Retrieval Augmented Generation, tool use, and evaluation. Awareness of software engineering practices for building reliable AI applications, such asgrounding, validation, guardrails, observability, and human-in-the-loop workflows, is anadvantage. Strong analytical, problem-sol…

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KFZ-Mechaniker im Minijob