AI Engineer

Design and build sophisticated AI agents capable of independent operation, complex decision-making, and self-correction. The role involves building real-world AI and machine learning solutions across ASEAN.

We're not hiring someone to run models. We're hiring someone who builds systems that think.

Responsibilities:

1. Agentic AI Systems Development
2. Design and build autonomous AI agents with sophisticated decision-making capabilities.
3. Implement orchestration workflows using LangChain, LangGraph, and Microsoft Bot Framework.
4. Create Retrieval-Augmented Generation (RAG) systems to minimize hallucinations.
5. Develop Memory, Reasoning, and Planning (MRP) features and Agent-to-Agent (A2A) communication protocols.
6. Work with LLM serving solutions like Ollama and vLLM.
7. Build with strong fundamentals in agentic AI — you understand how to design agents that are reliable, observable, and able to recover from failure.
8. Deployment & Operations
9. Deploy AI systems across AWS, Azure, or GCP with focus on high availability, security, and scalability.
10. Containerize applications using Docker and manage Kubernetes orchestrations.
11. Build CI/CD pipelines with Argo Workflows and Argo CD.
12. Create well-documented APIs for client integration.
13. Model Training & Optimization
14. Train and fine-tune custom models using TensorFlow and PyTorch.
15. Conduct structured experiments including hyperparameter tuning.
16. Work with diverse data types: text, image, time-series, and graph data.

Required Qualifications:

• Shipped AI systems to production users (not prototypes)
• Strong agentic AI design fundamentals
• Hands-on cloud platform experience (AWS, Azure, or GCP)
• Python engineering skills with Git proficiency
• Docker and Kubernetes deployment experience
• Communication skills for both technical and non-technical audiences

Preferred Qualifications:

• 3-7 years AI/ML engineering experience
• LangChain, LangGraph, Ollama, vLLM implementation
• RAG system optimization background
• MRP concepts and A2A protocol design knowledge
• MLOps tooling expertise (Argo Workflows, Argo CD)
• TensorFlow/PyTorch proficiency
• Knowledge graphs or semantic web exposure

Key Tech Stack:

• AI/LLM Frameworks: LangChain, LangGraph, Microsoft Bot Framework, Ollama, vLLM
• Cloud Platforms: AWS, Azure, GCP
• Containerization & Orchestration: Docker, Kubernetes
• CI/CD Tools: Argo Workflows, Argo CD
• ML Frameworks: TensorFlow, PyTorch

Benefits / Culture:

• Full certification sponsorship
• Structured learning paths and mentorship
• End-to-end problem ownership
• Work on high-impact public sector and enterprise initiatives
• Engineering-first culture with world-class practitioners
• Regional scope across ASEAN and Asia Pacific

Location: Singapore (onsite).