Forward Deployed Engineer

About Harp Technology

Harp Technology delivers fully managed AI agents that operate within isolated, sandboxed environments tailored to execute real-world tasks using specialized software setups. These AI agents utilize open-source tools, databases, and bespoke components, allowing clients to benefit from flexible, secure automation solutions. The platform provides comprehensive audit trails to ensure full transparency and compliance across AI-driven processes. All operations are hosted on Australian infrastructure, guaranteeing data residency and security for enterprise-critical workflows.

Role Overview

The Forward Deployed Engineer, based in Australia, is responsible for deploying and customizing Harp’s automation solutions directly for clients. This position requires close collaboration with customers to gather business requirements, design technical implementations, and integrate AI agents seamlessly with existing systems and data repositories via Harp’s platform.

Key Responsibilities

• Develop and maintain automated workflows tailored to client needs.
• Create and upkeep detailed documentation of client business processes.
• Troubleshoot and resolve operational issues to ensure stable client environments.
• Collaborate with clients to enhance and scale business process automation strategies.
• Engage in shaping the product roadmap and participate in platform evaluation processes.
• Work alongside cross-functional teams to optimize the system's performance, security, and monitoring capabilities.

Qualifications and Expertise

• Demonstrated ability to interface directly with clients, translate business objectives into practical technical solutions, and communicate effectively with diverse stakeholders.
• Robust knowledge in Computer Science fundamentals including data structures, algorithms, and system architecture.
• Experience in developing services, particularly APIs, and integrating third-party systems.
• Hands-on familiarity with AI models and agent frameworks such as Hermes, OpenClaw, Claude Code, and Codex.
• Good understanding of the capabilities and constraints of AI models from providers like OpenAI, Anthropic, Google, Alibaba, Z.ai, Moonshot, and DeepSeek.
• Preferred experience deploying AI models within local infrastructure setups.
• Desirable experience with deploying and managing software applications in secure sandboxed or containerized environments, including Docker or Kubernetes.
• Holding a Bachelor’s degree in Computer Science, Software Engineering, or a related discipline is advantageous.