Backend Developer Intern - Python/Django

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:

• 2–5 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.

Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)

Experience : 4 to 8 Years

Location : Gurgaon Sector - 43

Employment Type : Full-time

Job Summary :

We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.

The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.

Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.

Key Responsibilities :

• Develop, optimize, and maintain backend services using Python (FastAPI, Django).
• Design and implement API endpoints for high-performance and secure data exchange.
• Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.
• Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.
• Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.
• Optimize backend performance for scalability and reliability in AI-driven applications.
• Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.
• Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.

Required Skills & Qualifications :

• 4 to 8 years of experience as a Backend Engineer with strong expertise in Python.
• Proficient in FastAPI and Django frameworks for API and backend development.
• Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).
• Familiarity with machine learning model lifecycle and integration into production systems.
• Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.
• Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
• Exposure to CI/CD pipelines and DevOps tools.
• Good understanding of Git, version control, and testing frameworks.

Nice to Have :

• Experience with LangChain, Hugging Face, or similar LLM frameworks.
• Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).
• Understanding of vector databases (Pinecone, Chroma, etc.).

Education :

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

WHO YOU ARE

To be successful in this role, you’ll need to have the following skills:

·         Love for coding: A fanatic about writing beautiful and scalable code.

·         A sense of analytics: Strong analytical and troubleshooting skills. Should be resourceful, innovative and inventive.

·         Dynamic: Should be comfortable in dealing with lots of moving pieces. Have exquisite attention to detail, and are comfortable learning new technologies and systems. 

·         Team player: Knack for influencing without being authoritative. Pitch in wherever the team needs help, from writing blog posts to supporting customers.

·         Accountability: High sense of ownership for your code and relentlessness to deliver projects with high business impact. 

KEY QUALIFICATIONS

·         BE/BTech in Computer Science or related field. 

·         5+ years of professional production and development experience with leading-edge server and database technologies (e.g., Python, Java, Node.js, Scala, Spring Boot, MySQL, and NoSQL databases).

KEY SKILLS

·         Strong computer system analysis and design skills in current methodologies and patterns Experience with professional production cloud (AWS preferred).

·         Experience with RESTful Services and APIs.