Agentic AI Engineer

Location: Singapore, Singapore or Penang, Malaysia

Company

hirify.global is a technology company focused on Bitcoin mining solutions, AI cloud capabilities, ASIC hardware, and high-performance computing infrastructure.

What you will do

• Design and build scalable multi-agent architectures with planners, executors, and judges for NeoCloud engineering and business workflows.
• Integrate AI agents with internal services, SaaS platforms, and APIs to automate infrastructure actions such as node cordoning, checkpointing, and hardware remediation.
• Develop autonomous agents that generate and refactor code, analyze telemetry, and self-correct system issues in real time.
• Architect short- and long-term agent memory systems using protocols such as the Model Context Protocol.
• Implement RAG pipelines and LLM-as-a-Judge evaluation and guardrail mechanisms for reliable and secure agent behavior.
• Establish Harness engineering practices and integrate autonomous agents with Kubernetes and infrastructure engineering control planes.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
• 6+ years of software engineering experience with production-grade Python and TypeScript.
• Experience with agentic frameworks such as LangGraph and CrewAI, and frontier LLMs including OpenAI and Anthropic Claude.
• Experience deploying AI features in managed runtimes and cloud-native environments such as AWS, Azure, GCP, or private clouds.
• Knowledge of Kubernetes internals, infrastructure automation, CI/CD, distributed systems, telemetry, observability, and hardware-level metrics.
• Strong communication skills and demonstrated leadership in connecting traditional software engineering with autonomous AI.

Culture & Benefits

• Inclusive environment that values authenticity and diverse perspectives.
• Fast-growing setting with opportunities to work with industrial pioneers in digital assets and AI infrastructure.
• Direct contribution to new projects, systems, and processes.
• Personal accountability, autonomy, professional growth, training, and mentoring.
• Welfare benefits and development opportunities.