Agentic AI Engineer

12 hours ago

Singapore, SingaporeSenior

Responsibilities

Design and build scalable multi-agent architectures with planners, executors, and judges for NeoCloud 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 code, refactor software, analyze telemetry, and self-correct system issues.
Architect short- and long-term agent memory systems using protocols such as the Model Context Protocol.
Implement Retrieval-Augmented Generation pipelines grounded in telemetry and observability data.
Create LLM-as-a-Judge evaluation and guardrail mechanisms for agent performance, reliability, and security compliance.
Establish Harness engineering practices for agent deployment, governance, and lifecycle management.
Collaborate with Kubernetes and Infrastructure Engineering teams to integrate autonomous agents into the platform control plane.

Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
At least 6 years of software engineering experience.
Deep production-grade Python and TypeScript expertise.
Extensive experience with agentic frameworks such as LangGraph and CrewAI and frontier large language models including OpenAI and Anthropic Claude.
Experience designing complex systems that translate ambiguous business processes into reusable AI logic and patterns.
Experience deploying AI features into managed runtimes and cloud-native environments such as AWS, Azure, GCP, or private clouds.
Familiarity with Kubernetes internals, infrastructure automation, and CI/CD pipelines including Jenkins, GitHub Actions, and Harness.
Strong understanding of distributed systems, telemetry, observability stacks such as Prometheus and OpenTelemetry, and hardware-level metrics.
Demonstrated leadership connecting traditional software engineering with autonomous AI.
Excellent communication skills and ability to work in a fast-paced, cross-functional engineering environment.

Inclusive and diverse work environment with open workspaces and startup spirit.
Opportunity to network with industry pioneers and contribute directly to the digital asset industry.
Involvement in new projects and development of processes and systems.
Personal accountability, autonomy, fast growth, and learning opportunities.
Welfare benefits and developmental opportunities including training and mentoring.

201-500 employees