Agentic AI Engineer

About Bitdeer: Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud. Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence. Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio, and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia. What you will be responsible for: Design and build scalable multi-agent architectures (planners, executors, judges) to automate end-to-end NeoCloud engineering and business workflows. Integrate AI agents with internal services, SaaS platforms, and APIs to autonomously trigger infrastructure actions, such as node cordoning, checkpointing, and hardware remediation. Develop autonomous agents that can generate code, refactor software, and analyze telemetry to self-correct system issues in real-time. Architect short-term and long-term memory systems for agents, ensuring continuity across long-running infrastructure tasks using protocols like the Model Context Protocol (MCP). Implement advanced Retrieval-Augmented Generation (RAG) pipelines to ground agent decisions in reliable data from our telemetry and observability stacks. Enforce rigorous evaluation and guardrails via "LLM-as-a-Judge" mechanisms, ensuring agent performance, reliability, and security compliance. Establish company-wide Harness engineering practices to automate the deployment, governance, and lifecycle management of agentic systems, leveraging CI/CD and feature flagging. Collaborate with Kubernetes and Infrastructure Engineering teams to integrate autonomous agents into the platform's control plane for proactive, self-optimizing resilience. How you will stand out: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. Minimum 6+ years of software engineering experience, with deep expertise in production-grade Python and TypeScript. Extensive experience with modern agentic frameworks (e.g., LangGraph, CrewAI) and working with frontier Large Language Models (OpenAI, Anthropic Claude). Proven track record of designing complex systems that map ambiguous business processes into robust, reusable AI logic and patterns. Experience deploying AI features into managed runtimes and cloud-native environments (AWS, Azure, GCP, or private clouds). Familiarity with Kubernetes internals, infrastructure automation, and CI/CD pipelines (e.g., Jenkins, GitHub Actions, Harness). Strong understanding of…