Engineering Manager

Engineering Manager – AI & Data Systems

About Zodiac AI

Zodiac AI is the real-time growth engine for D2C brands on quick commerce. We help brands win on Blinkit, Zepto, and Instamart by transforming raw, unstructured platform data into real-time intelligence. Our AI-driven platform unifies sales, pricing, and promotion data into one live dashboard — automating daily decisions around pricing, ads, and inventory.

Piloted with leading D2C brands, Zodiac AI is reshaping how brands operate in the 10-minute delivery era — faster reactions, smarter systems, and measurable revenue growth through intelligent automation.

The Role

We’re hiring an Engineering Manager (AI & Data Systems)  to lead the technical foundation of Zodiac’s intelligence stack. You’ll own everything from real-time scraping and backend infrastructure to AI automation systems that power insights and decisions for brands. This is a hands-on leadership role — part architect, part builder, part coach — ideal for someone who thrives in startup environments where speed and precision matter equally.

What You’ll Do

Lead design and development of scalable AI and backend systems.

Architect data pipelines that power real-time analytics and AI-driven automation.

Manage and mentor backend and AI engineers.

Oversee development of web scrapers, ETL workflows, and model-serving infrastructure.

Collaborate with product and growth teams to build intelligent features that drive impact.

Review architecture, enforce clean code, and ensure strong engineering standards.

Drive R&D for integrating LLMs, AI agents, and automation frameworks.

Monitor, debug, and optimize performance across data and AI systems.

What We’re Looking For

5–7 years of backend or AI engineering experience, with 1–2 years in leadership.

Strong command of  NodeJS  and  Python  (FastAPI, Express, or equivalent).

Experience building  AI pipelines  using LLMs, embeddings, or vector databases.

Proven experience with  web scraping ,  data ingestion , and  microservices .

Proficiency in  SQL  and familiarity with modern data systems (PostgreSQL, Redshift, Snowflake).

Hands-on exposure to  AWS ,  Docker , and orchestration tools like  Dagster  or  Airbyte .

Strong understanding of scalable backend design and distributed systems.

Startup-first mindset — build fast, optimize later, own your outcomes.

Excellent technical leadership and problem-solving ability.

Why Join Us

Lead the AI backbone of a fast-growing product powering top D2C brands.

Work directly with the founding team on architecture, innovation, and direction.

Build systems that merge real-time data, AI, and automation at scale.

High ownership, zero bureaucracy, and an obsession with speed and impact.