AI Engineering Manager

Job OverviewWe are looking for an AI Engineering Manager to lead a team of 5 – 10 engineers. You will be responsible for building, delivering, and scaling products that impact millions of users. This is a fast-moving environment, so speed, clarity, and ownership matter a lot.Key Responsibilities1.Team Leadership :- Lead a team of 5–10 engineers. - Teach your team the full tech lifecycle — from design, development, and deployment to maintenance. - Build a team culture of trust, learning, and accountability. - Help your team members grow in their careers. - Conduct team-building activities and learning sessions regularly.2.Delivery and Execution :- Make sure your team delivers new features regularly. - Plan and manage sprints with inputs from Product and Design teams. - Handle technical debt smartly and keep systems healthy - Maintain good communication with QA and DevOps for smooth releases3.AI Systems :- Build multi-modal AI systems (text, image, voice, etc.) with high accuracy and strong user engagement. - Develop AI evaluation frameworks to regularly measure and maintain model quality. - Design and maintain data pipelines for clean and efficient data ingestion. - Build reusable services and frameworks that can work across multiple LLMs, vector databases, and data ingestors. - Continuously stay updated with the latest AI tools, research, and trends, and bring practical innovations into the product.4.Technical Ownership :- Guide your team on large projects or improvements that help the company scale better. - Design and build reusable tools or platforms that other teams can use. - Create centralised solutions for common developer needs like logging, auth, or monitoring. - Monitor and improve technical health — cloud cost, error rates, API speed, database performance, and alert systems. - Use AI tools (Claude, GitHub Copilot, etc.) to design internal agents that improve developer productivity. - Maintain clear documentation for key systems and processes. - Support tech marketing by writing blogs or case studies about key engineering work. - Ensure good test coverage is maintained across all services. - Establish engineering rituals (design reviews, postmortems, chapter forums) and uphold high bars for code quality, testing, security, and documentationRequirements- Experience working in a tier 1 company / vc funded startup for 5 + years. - Prior experience of managing a team. - Core Expertise in both frontend and backend systems in either (Node Js / Python - Backend) and (React / Equivalent - Frontend) - Prior experience of working with LLM stack (Observability, LLMs, Vector databases, Re rankers) - Experience with multiple cloud technologies including databases / servers / CDNs / API gateways / Load balancers. - 5+ Years of experience in core tech companies - Will be an in office role. - Commitment to excellence and not settling for bare minimum.About Company- Vision : BIK helps e-commerce companies in India to generate more revenue. We work with big e commerce players in India like Durex, Apple, Lego, Duroflex, Livspace, Vadham Teas, Noise, Tata Brands, Forum mall. We have two products BIK and Manifest.ai. Our vision is to be the market leaders in the marketing automation category across the world. - Scale : We process more than a billion events across these brands on an yearly basis which is increasing rapidly MOM. - Fuel : Monetizing the product from early days we have a solid business model and our revenue numbers are growing at a healthy pace. Apart from this we are funded by top investors in the world like Sequoia capital and Ycombinator. We are also profitable :) - People : We have a culture which gives you a lot of challenges to solve and at the same time get high rewards.