Head of Engineering - AI Platform

Head of Engineering - AI PlatformOur flagship platform, Vetta, is an AI-powered recruitment intelligence platform designed to help recruiters and hiring teams evaluate candidates, manage recruitment workflows, support interviews and make more structured, explainable hiring decisions.Vetta combines AI-assisted candidate assessment with recruiter workflow automation, interview intelligence, analytics and enterprise governance capabilities.Learn more: www.vetta-ai.comResponsibilities:Own the end-to-end technical architecture and engineering roadmap for Vetta.Lead the transition towards a scalable, enterprise-grade AI platform.Design and implement agentic AI workflows using LLMs, tool calling, structured outputs and human-in-the-loop patterns.Build a model-agnostic AI architecture that can work across providers such as OpenAI, Anthropic, IBM and other models where appropriate.Strengthen the platform across reliability, security, performance, observability and scalability.Lead development of backend services, APIs, data pipelines and platform integrations.Establish strong engineering practices across CI/CD, testing, code review, monitoring and release management.Design robust evaluation frameworks for AI and agent performance.Own enterprise architecture requirements including tenant isolation, RBAC, auditability, data protection and deployment controls.Guide future integrations with ATS, HRIS and enterprise systems.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 selected enterprise customer discussions, technical evaluations and deployments.Maintain clear technical documentation and architecture standards.Requirements:8+ years of software engineering experience, with meaningful experience leading engineering teams or owning major architecture decisions.Strong hands-on experience building and operating production SaaS platforms.Strong backend engineering experience, ideally with Python and modern API frameworks.Practical experience building AI/LLM applications using tool calling, agents, RAG, structured outputs and evaluation frameworks.Strong understanding of cloud architecture and distributed systems.Experience with relational databases, APIs, authentication and enterprise integrations.Strong understanding of production security, RBAC, audit logging and data isolation.Experience with CI/CD, automated testing, monitoring and production operations.Ability to make pragmatic build-vs-buy decisions.Strong communication skills and the ability to engage with both technical teams and enterprise stakeholders.Preferred:Experience in AI-native SaaS, HR technology, recruitment technology or enterprise workflow platforms.Experience integrating with ATS / HRIS platforms.Experience with multiple LLM providers or model-routing architectures.Experience building agentic systems in production.Experience with vector databases, embeddings and semantic search.Experience in regulated environments such as banking, government or healthcare.Previous experience as a Staff Engineer, Engineering Lead, Head of Engineering or similar technical leadership role.Experience building and scaling an engineering team from an early stage.-------------------------------------------------------------------------------------------------------------Only shortlisted candidates will be notified.-------------------------------------------------------------------------------------------------------------EA License Number: 10C3636EA Personnel Name: Arora, HardeepEA Personnel Registration Number: R1111454By submitting your resume and cover letter to apply for our job opening, you confirm that you have read the Data Protection Notice for Job Applicants (https://www.nsearchglobal.com/dp-notice/job-applicants) and you consent to the collection, use, and disclosure of your personal data for the purpose of verifying and evaluating your job application. Additionally, you have to notify and obtain consent from all individuals listed as your references to their data being collected and disclosed for the purposes related to your job application