Rapid AI Prototyping & AIOps Architect

Tech Aalto Pte ltd; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

Tech Aalto Pte Ltd is seeking an AI Prototyper & AIOps Engineer to rapidly test ideas, build proof-of-concepts, and operationalize AI models across diverse environments.

You will work with LLMs, RAG pipelines, and multimodal models, designing cloud-native architectures and end-to-end AIOps pipelines. You’ll help define deployment standards, security, monitoring, and continuous improvement while collaborating with PMs, architects, and engineers to turn innovation into reliable solutions.

Qualifications

• Bachelor’s degree in CS, Engineering, or related.
• 5+ years in ML Engineering, AIOps, or similar applied AI functions.
• Strong Python, Docker, Kubernetes, CI/CD, and cloud experience.
• Familiarity with LLMs, open-source models, vector DBs, and RAG.
• Strong ability to prototype quickly and work with ambiguity.
• Experience integrating data sources at scale.

Responsibilities

• Build rapid prototypes using LLMs, RAG, embeddings, and multimodal models.
• Design and implement end-to-end AIOps pipelines for training and deployment.
• Stand up cloud infrastructure in GCP/Azure for scalable AI workloads.
• Integrate structured, unstructured, and telemetry-style data into models.
• Implement monitoring, observability, and automated evaluation systems.
• Collaborate with PMs, architects, and engineers to define feasibility.
• Produce technical documentation and contribute to delivery frameworks.
• Experiment with new AI techniques and translate innovation into action.

Skills

Python

AIOps

ML Engineering

Prototyping

Cloud experience

Data integration

LLMs familiarity

Education

Bachelor’s degree in CS/Engineering

Tools

Docker

Kubernetes

CI/CD

GCP

Azure

Vector databases

Job description

Tech Aalto Pte Ltd is seeking an AI Prototyper & AIOps Engineer to rapidly test ideas, build proof-of-concepts, and operationalize AI models across diverse environments.

You will work with LLMs, RAG pipelines, and multimodal models, designing cloud-native architectures and end-to-end AIOps pipelines. You’ll help define deployment standards, security, monitoring, and continuous improvement while collaborating with PMs, architects, and engineers to turn innovation into reliable solutions.