Production-Grade AI Engineer: From Prototypes to Scale

K2 Partnering Solutions; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

K2 Partnering Solutions seeks a hands-on AI Application Engineer to bridge rapid AI prototyping with production-grade software delivery in a Singapore-based team. You will refactor and harden prototypes into secure, scalable, and well-governed applications, collaborating with product owners, data engineers, security specialists, and business stakeholders across the organization.

You will re-architect early-stage AI prototypes into maintainable systems, design and build end-to-end AI

Qualifications

• 7+ years of hands-on software development for enterprise-grade or cloud-native apps.
• Proficiency in React, TypeScript, Node.js, Python, .NET, or Java.
• Experience integrating apps with major cloud AI services (Azure OpenAI, Azure AI Search, Azure ML).

Responsibilities

• Re-architect prototypes into production-ready software with secure, scalable APIs.
• Design end-to-end AI capabilities including RAG architectures and workflow agents.
• Build and maintain front-end UI, back-end APIs, and data integrations.
• Implement AI safety patterns: prompt management, filtering, audit logs, human-in-the-loop workflows.
• Develop starter templates and engineering playbooks to accelerate AI delivery.
• Create automated tests and monitor latency, token use, and costs.

Skills

React

TypeScript

Node.js

Python

.NET

Java

CI/CD

LLMs

RAG

Security practices

Education

Bachelor's degree in CS or related field

Tools

GitHub Actions

Azure DevOps

Docker

Kubernetes

RESTful APIs

Job description

K2 Partnering Solutions seeks a hands-on AI Application Engineer to bridge rapid AI prototyping with production-grade software delivery in a Singapore-based team. You will refactor and harden prototypes into secure, scalable, and well-governed applications, collaborating with product owners, data engineers, security specialists, and business stakeholders across the organization.

You will re-architect early-stage AI prototypes into maintainable systems, design and build end-to-end AI