Generative AI Engineer for Scalable Enterprise Solutions

Tap Growth ai; Singapore; On-site; SGD 106,000 - 117,000; Full time

Job summary

Tap Growth ai in Singapore seeks a senior AI/ML engineer to design and deliver scalable Generative AI solutions across enterprise workflows. You will collaborate with internal teams to identify opportunities for AI-driven automation and optimization.

You will work with state-of-the-art models, RAG, vector databases and multi-agent systems, and you will deploy robust APIs and web interfaces to enable business users to leverage AI capabilities.

Qualifications

• Bachelor's degree in a technical discipline.

Responsibilities

• Collaborate with internal teams to identify AI-driven process improvements.
• Architect and deliver scalable Generative AI and ML solutions to streamline workflows.
• Enhance AI apps by integrating advanced data science techniques and agent AI.
• Explore AI developments including LLMs, predictive modelling, anomaly detection and NLP.
• Prepare and transform complex datasets for reliable model development.
• Build backend systems, APIs and integrations for AI models with enterprise apps.
• Create responsive web interfaces for interacting with AI tools.
• Apply RAG, vector search, embeddings and context engineering to improve outputs.
• Manage cloud-hosted AI solutions and containerized environments.
• Conduct testing, performance assessments and troubleshoot with stakeholders.

Skills

AI/ML app development

LLM frameworks & RAG

Context optimisation & multi-agent

Programming & web tech

Problem solving & communication

Education

Bachelor's Degree in Computer Science, Engineering, AI, Data Science, ML or related field

Tools

TypeScript

C#

SQL

Git

FastAPI

Flask

Express.js

React

Vue.js

Docker

Kubernetes

Power BI

Tableau

Qlik

MicroStrategy

Job description

Tap Growth ai in Singapore seeks a senior AI/ML engineer to design and deliver scalable Generative AI solutions across enterprise workflows. You will collaborate with internal teams to identify opportunities for AI-driven automation and optimization.

You will work with state-of-the-art models, RAG, vector databases and multi-agent systems, and you will deploy robust APIs and web interfaces to enable business users to leverage AI capabilities.