Agentic AI Engineer

ASTEK SINGAPORE INNOVATION TECHNOLOGY PTE. LTD.; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

Astek Singapore Innovation Technology Pte. Ltd. is seeking an experienced AI/ML engineer to design, develop, and deploy production AI systems in a collaborative, cross-functional environment.

You will build agentic AI architectures, implement multi-agent workflows, and optimize LLM-powered applications and RAG pipelines with vector databases. Strong Python and experience with PyTorch, TensorFlow, or scikit-learn are required.

Qualifications

• 3 years of experience in AI/ML engineering, software development, and building and deploying production AI systems.
• Hands-on experience designing agentic AI systems and multi-agent workflows using Lang Graph, LangChain, or Azure AI Agent Service.
• Experience developing LLM-powered applications and retrieval-augmented generation (RAG) pipelines with vector databases and embedding-based retrieval.
• Solid Python programming with experience in AI/ML frameworks (PyTorch, TensorFlow, or Scikit-learn).
• Deploy, scale, and operate AI workloads on Azure (Azure OpenAI, Azure AI Foundry, Azure Kubernetes Service), optimizing for performance, cost, and reliability.
• Build and maintain MLOps/LLMOps pipelines using Docker, CI/CD, and Git for continuous deployment and monitoring of AI services.
• Implement observability, logging, and evaluation to monitor model quality, latency, and drift of agentic systems in production.
• Collaborate with product managers, data scientists, and consulting teams to translate business problems into robust, scalable AI solutions

Responsibilities

• Collaborate with cross-functional teams to translate business problems into robust AI solutions.
• Design, develop, and deploy production AI systems with end-to-end ML workflows.
• Develop agentic AI architectures and multi-agent coordination strategies.
• Ensure observability, monitoring, and reliability of AI services in production.

Skills

AI/ML engineering

Software development

Lang Graph / LangChain

Azure AI Agent Service

LLM-powered applications

RAG pipelines

Vector databases

Embedding retrieval

Python

PyTorch / TensorFlow / Scikit-learn

Azure Kubernetes Service

MLOps/LLMOps

Docker / CI/CD / Git

Observability / Logging

Collaborative problem solving

Tools

Lang Graph

LangChain

Azure AI Agent Service

PyTorch

TensorFlow

Scikit-learn

Docker

CI/CD

Git

Azure Kubernetes Service

Vector databases

Job description

• 3 years of experience in AI/ML engineering, software development, and building and deploying production AI systems.
• Hands-on experience designing agentic AI systems and multi-agent workflows using frameworks such as Lang Graph, LangChain, or Azure AI Agent Service.
• Experience developing LLM-powered applications and retrieval-augmented generation (RAG) pipelines with vector databases and embedding-based retrieval.
• Solid Python programming with experience in AI/ML frameworks (PyTorch, TensorFlow, or Scikit-learn).
• Deploy, scale, and operate AI workloads on Azure (Azure OpenAI, Azure AI Foundry, Azure Kubernetes Service), optimizing for performance, cost, and reliability.
• Build and maintain MLOps/LLMOps pipelines using Docker, CI/CD, and Git for continuous deployment and monitoring of AI services.
• Implement observability, logging, and evaluation to monitor model quality, latency, and drift of agentic systems in production.
• Collaborate with product managers, data scientists, and consulting teams to translate business problems into robust, scalable AI solutions