Develop and maintain Python code and Vibe-Code prototypes to integrate ML models and LLM prompts into automated workflows. Collaborate with backend teams to deploy solutions, participate in code reviews, document system logic, and troubleshoot issues to support scalable AI-driven automation.
This is a remote position.
Summary:
We are seeking a motivated Junior AI Engineer to join our dynamic technology team. In this role, you will collaborate closely with senior system architects to design, develop, and optimize AI-driven workflows and intelligent automation systems that address real-world business challenges. You will play a key part in building scalable, efficient solutions using modern tools and frameworks, contributing to the evolution of smart, data-powered systems. Your work will directly impact operational efficiency and innovation across our platform, making this a pivotal opportunity for early-career engineers eager to grow in AI and automation.
Responsibilities:
- Develop clean, efficient, and maintainable Python code to support internal AI operations and automation initiatives.
- Utilize Vibe-Code to rapidly prototype, test, and iterate on functional application models and workflows.
- Assist in integrating machine learning models and large language model (LLM) prompts into live business processes.
- Collaborate with backend engineering teams to deploy automated workflows and ensure seamless system integration.
- Participate in code reviews, maintain comprehensive documentation of system logic, and resolve technical issues promptly.
Similar Jobs
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Design, scope and deliver Ericsson cloud solutions (CNIS, NFVI, OMC). Analyze customer technology and requirements, plan and verify configuration, integration, migration, testing and acceptance. Provide customer workshops/presentations, support deployments and post-project activities, feedback to R&D, drive process improvements, and occasionally support pre-sales. Collaborate cross-functionally and travel up to 30%.
Top Skills:
AWSAzureCnisDellDockerGCPHpKubernetesLenovoLinuxNfviOmcOpenstack
Edtech • HR Tech • Information Technology • Professional Services
Develop, train, evaluate, and optimize ML solutions and data pipelines; translate business requirements into production-ready ML code; perform feature engineering, model selection, and evaluation; document work, participate in code reviews, and support testing and data issue resolution.
Top Skills:
AWSDatabricksMachine LearningMlopsNumpyPandasPysparkPythonScikit-Learn
Artificial Intelligence • Machine Learning • Natural Language Processing • Big Data Analytics
Design, build, and maintain data collection, cleaning, transformation, validation, and storage pipelines. Collaborate with annotation, QA, and AI teams to prepare high-quality datasets for model training and automate dataset validation and curation workflows.
Top Skills:
AWSAzureETLGCPMachine Learning PipelinesNumpyPandasPysparkPythonSQL
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.



