GobbleCube
Website:
gobblecube.ai
Job details:
Company Overview
GobbleCube is an agentic growth operating system designed to help brands scale profitably across digital marketplaces. Founded in November 2022 by the ex- core team of Blinkit, the platform went live commercially from private beta in September 2024.
Since then, GobbleCube has scaled rapidly, supporting 600+ brands across enterprise and D2C, growing revenue 10X, and onboarding 45 of India’s largest CPG enterprises in just the last 9 months, including HUL, Nivea, Tata Consumer Products, ITC, Godrej, Beiersdorf, MTR, L’Oréal, Hershey’s, and many more.
As commerce becomes more distributed and hyperlocal, GobbleCube is building agentic solutions to help brands navigate complexity in real time, across visibility, performance marketing, supply chain, and growth strategy. Headquartered in Gurugram, the company supports brands across India, MENA, and LATAM.
About the Role
We are looking for a hands-on technical leader who can build production grade AI systems, design scalable backend architecture, and lead a team of 3 – 4 engineers. You will balance technical execution with people management, taking ownership of complex projects while helping the team deliver high-quality software faster using AI-native development practices.
What You'll Do
- Lead the team: Manage day-to-day execution, prioritise work, conduct 1:1s, provide feedback, mentor engineers, and support hiring and performance reviews.
- Build backend systems: Design and develop scalable APIs, asynchronous services, integrations, and distributed systems using Python, FastAPI, and related technologies.
- Build AI-powered products: Develop LLM applications, AI agents, RAG pipelines, and agentic workflows.
- Own architecture and reliability: Drive technical decisions across databases, performance, security, testing, and observability.
- Stay hands-on: Contribute directly to critical features, solve complex engineering problems, and support production systems.
- Champion AI-native engineering: Use tools like Cursor and Claude effectively, establishing practices that improve team productivity without compromising code quality.
- Collaborate across teams: Work with product, data, and platform teams to take initiatives from requirements to production.
What We're Looking For
- 4+ years of software engineering experience, with demonstrated ownership of production systems.
- Strong Python fundamentals and experience designing backend services at scale.
- Practical experience building AI/LLM-powered applications, beyond basic API integrations or prototypes.
- Experience with system design, SQL, distributed systems, and production debugging.
- Ability to make sound technical trade-offs and balance delivery speed with reliability and maintainability.
- Experience mentoring engineers or leading technical projects, with strong communication and prioritisation skills.
- A hands-on mindset toward AI-assisted development, testing, and code quality.
Nice to Have
- Experience with FastAPI, LangGraph, LangChain, or similar frameworks.
- Familiarity with PostgreSQL, Redis, Snowflake, ClickHouse, or vector databases.
- Experience with AWS, Docker, Kubernetes, or messaging systems.
- Background in data engineering, analytics platforms, or multi-agent systems.
What Success Looks Like
- A team of 3–4 engineers delivering reliably with clear ownership and strong engineerin standards.
- Scalable backend systems and AI features running reliably in production.
- Improved engineering velocity through effective AI tooling and workflows.
- Engineers who grow in capability while you continue contributing to critical technical work.
Click on Apply to know more.
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