Head of Engineering - AI Platform

nSearch Global Pte. Ltd.

Role Description

  • Own Vetta’s end-to-end technical architecture and engineering roadmap.
  • Lead development of scalable, enterprise-grade AI and SaaS capabilities.
  • Design and implement agentic AI workflows using LLMs, tool calling, structured outputs and human-in-the-loop patterns.
  • Develop a model-agnostic architecture capable of supporting multiple AI providers.
  • Strengthen platform reliability, performance, security, observability and scalability.
  • Lead backend services, APIs, data pipelines and enterprise integrations.
  • Establish strong engineering practices across CI/CD, testing, code review and monitoring.
  • Build evaluation frameworks for AI and agent performance.
  • Own enterprise architecture requirements including RBAC, auditability, tenant isolation and data protection.
  • Guide future ATS, HRIS and enterprise system integrations.
  • Work closely with product and commercial leadership to translate customer requirements into scalable product capabilities.
  • Build and lead the internal engineering team as the platform grows.
  • Support enterprise technical discussions, evaluations and deployments.

Requirement

  • 8+ years of software engineering experience.
  • Experience leading engineering teams or owning major technical architecture decisions.
  • Strong hands-on experience building and operating production SaaS platforms.
  • Strong backend engineering experience, preferably with Python and modern API frameworks.
  • Practical experience building AI/LLM applications using agents, tool calling, RAG, structured outputs and evaluation frameworks.
  • Strong understanding of cloud architecture, APIs, databases and distributed systems.
  • Experience with authentication, RBAC, audit logging and enterprise security.
  • Experience with CI/CD, automated testing, monitoring and production operations.
  • Strong product judgement and ability to make pragmatic build-vs-buy decisions.
  • Strong communication skills with both technical teams and enterprise stakeholders.

Skills

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