Head of Engineering - AI Platform

About the Role

Lead the engineering efforts for Vetta, an AI-powered recruitment intelligence platform designed to assist recruiters and hiring teams in candidate evaluation, recruitment workflow management, interviews, and making structured, explainable hiring decisions. Vetta integrates AI-driven candidate assessments with workflow automation, interview analytics, and enterprise governance features.

Key Responsibilities

• Manage the full technical architecture and engineering strategy for the Vetta platform.
• Drive the evolution towards a scalable, enterprise-grade AI system.
• Develop advanced AI workflows using large language models (LLMs), tool invocation, structured outputs, and human oversight mechanisms.
• Create a vendor-neutral AI infrastructure compatible with providers like OpenAI, Anthropic, IBM, among others.
• Enhance platform reliability, security, performance, monitoring, and scalability.
• Lead backend development including services, APIs, data pipelines, and integrations.
• Implement robust engineering practices encompassing CI/CD, testing, code reviews, monitoring, and release management.
• Design evaluation methodologies to assess AI and agent efficiency.
• Ensure enterprise architecture compliance covering tenant segregation, role-based access control, audit capabilities, data security, and deployment protocols.
• Plan future integrations with applicant tracking systems (ATS), human resource information systems (HRIS), and other enterprise solutions.
• Collaborate closely with product and business teams to convert client requirements into scalable features.
• Recruit, mentor, and expand the engineering team aligned with platform growth.
• Support enterprise client engagements including technical assessments and deployment assistance.
• Maintain detailed technical documentation and uphold architectural standards.

Candidate Profile and Requirements

• At least 8 years of experience in software engineering with proven leadership in managing teams or owning significant architectural decisions.
• Strong expertise in developing and maintaining production SaaS products.
• Proficient backend development skills, preferably in Python and contemporary API frameworks.
• Practical knowledge of AI and LLM applications encompassing tool calls, agents, retrieval-augmented generation (RAG), structured outputs, and performance evaluation frameworks.
• Good understanding of cloud computing, distributed system concepts, relational databases, API design, authentication mechanisms, and enterprise-level integrations.
• Experience in security practices affecting production environments including RBAC, audit logging, and data isolation.
• Familiarity with CI/CD pipelines, automated testing protocols, system monitoring, and operational management.
• Ability to evaluate build vs. buy strategies effectively.
• Excellent communication skills to liaise between engineering teams and enterprise customers.

Preferred Experience

• Background in AI-focused SaaS, HR technology, recruitment platforms, or enterprise workflow products.
• Integration experience with ATS and HRIS systems.
• Hands-on experience with multiple LLM providers and model routing architectures.
• Development and deployment of agentic AI systems.
• Exposure to vector databases, embeddings, and semantic search technologies.
• Experience working within regulated sectors such as banking, government, or healthcare.
• Previous roles as Staff Engineer, Engineering Lead, Head of Engineering, or similar senior technical leadership positions.
• Proven track record building and scaling engineering teams from initial stages.

Additional Information

Only candidates shortlisted will be contacted.

EA License Number: 10C3636EA; Personnel Name: Arora, Hardeep; EA Personnel Registration Number: R1111454.

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