About
Clink is reimagining restaurant growth — no commissions, no food bloggers, just AI-powered loyalty and real customer influence.
Our platform helps restaurants turn diners into repeat customers and brand advocates using smart rewards and Instagram-powered virality. With every visit, customers earn personalized rewards and post about their experience on instagram driving organic traffic, not paid ads.
If you're excited by AI, social growth, and building the future of hospitality tech — Clink is the place to be.
Tech stack
Python
React.js
React Native
Ruby on Rails (ROR)
Elastic Search
ChatGPTCandid answers by the company
Clink helps restaurants grow without ads or commissions.
We provide an AI-powered platform that lets restaurants:
- Run smart, personalized loyalty programs
- Turn diners into Instagram influencers with built-in social rewards
- Capture and use customer data to boost repeat visits and increase order value
With Clink, restaurants get more loyal customers, more visibility, and more revenue — all without relying on aggregators like Zomato or Swiggy.
Product showcase
Company social profiles
Jobs at Clink
RubyRuby on Rails (ROR)Role Overview:
We’re looking for an exceptionally passionate, logical, and smart Backend Developer to join our core tech team. This role goes beyond writing code — you’ll help shape the architecture, lead entire backend team if needed, and be deeply involved in designing scalable systems almost from scratch.
This is a high-impact opportunity to work directly with the founders and play a pivotal role in building the core product. If you’re looking to grow alongside a fast-growing startup, take complete ownership, and influence the direction of the technology and product, this role is made for you.
Why Clink?
Clink is a fast-growing product startup building innovative solutions in the food-tech space. We’re on a mission to revolutionize how restaurants connect with customers and manage offers seamlessly. Our platform is a customer-facing app that needs to scale rapidly as we grow. We also aim to leverage Generative AI to enhance user experiences and drive personalization at scale.
Key Responsibilities:
- Design, develop, and completely own high-performance backend systems.
- Architect scalable, secure, and efficient system designs.
- Own database schema design and optimization for performance and reliability.
- Collaborate closely with frontend engineers, product managers, and designers.
- Guide and mentor junior team members .
- Explore and experiment with Generative AI capabilities for product innovation.
- Participate in code reviews and ensure high engineering standards.
Must-Have Skills:
- 1–4 years of experience in backend development at a product-based company.
- Strong expertise in database design and system architecture.
- Hands-on experience building multiple production-grade applications.
- Solid programming fundamentals and logical problem-solving skills.
- Experience with Python or Ruby on Rails (one is mandatory).
- Experience integrating third-party APIs and services.
Good-to-Have Skills:
- Familiarity with Generative AI tools, APIs, or projects.
- Contributions to open-source projects or personal side projects.
- Exposure to frontend basics (React, Vue, or similar) is a plus.
- Exposure to containerization, cloud deployment, or CI/CD pipelines.
What We’re Looking For:
- Extremely high aptitude and ability to solve tough technical problems.
- Passion for building products from scratch and shipping fast.
- A hacker mindset — someone who builds cool stuff even in their spare time.
- Team player who can lead when required and work independently when needed.
Python
Machine Learning (ML)Role Overview
Join our core tech team to build the intelligence layer of Clink's platform. You'll architect AI agents, design prompts, build ML models, and create systems powering personalized offers for thousands of restaurants. High-growth opportunity working directly with founders, owning critical features from day one.
Why Clink?
Clink revolutionizes restaurant loyalty using AI-powered offer generation and customer analytics:
- ML-driven customer behavior analysis (Pattern detection)
- Personalized offers via LLMs and custom AI agents
- ROI prediction and forecasting models
- Instagram marketing rewards integration
Tech Stack:
- Python,
- FastAPI,
- PostgreSQL,
- Redis,
- Docker,
- LLMs
You Will Work On:
AI Agents: Design and optimize AI agents
ML Models: Build redemption prediction, customer segmentation, ROI forecasting
Data & Analytics: Analyze data, build behavior pattern pipelines, create product bundling matrices
System Design: Architect scalable async AI pipelines, design feedback loops, implement A/B testing
Experimentation: Test different LLM approaches, explore hybrid LLM+ML architectures, prototype new capabilities
Must-Have Skills
Technical: 0-2 years AI/ML experience (projects/internships count), strong Python, LLM API knowledge, ML fundamentals (supervised learning, clustering), Pandas/NumPy proficiency
Mindset: Extreme curiosity, logical problem-solving, builder mentality (side projects/hackathons), ownership mindset
Nice to Have: Pydantic, FastAPI, statistical forecasting, PostgreSQL/SQL, scikit-learn, food-tech/loyalty domain interest
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