Backend Developer @Clipwise.ai Clienta Centra Technologies

0.0 - 2.0 years

5 - 8 Lacs

Gurugram

Work from Office

Role: Backend Developer At Clipwise.ai, we're building the future of AI-powered video creation. If you are excited by backend challenges, machine learning integrations, and solving real problems that shape how users interact with AI-driven tools this is your calling. Key Responsibilities: Develop and deploy robust backend features using Django, PostgreSQL, and Redis. Integrate machine learning models and pipelines into real-time production environments. Work closely with product and ML teams to ship impactful features. Solve challenging backend problems, optimize performance, and debug complex issues. Collaborate in a high-ownership, fast-paced team environment. Use AI tools (like ChatGPT, Claude, Cursor) to enhance productivity and automation. What Were Looking For: Strong backend fundamentals and solid debugging skills. Experience using or experimenting with AI tools (e.g., ChatGPT, Claude, Cursor). Passion for learning new technologies; no DSPy or MLflow experience requiredwe’ll guide you. Hands-on with personal or collaborative projects, hackathons, or open-source contributions. A curious mindset and ability to thrive in high-ownership environments. Tech Stack You’ll Work With: Languages & Frameworks: Python, Django. Databases: PostgreSQL, Redis. AI/ML Tools: DSPy, MLflow. Cloud & Infra: GCP (Google Cloud Platform). Others: Git, GitHub, REST APIs, Async processing. Bonus Points (Nice to Have): Prior experience deploying ML models or integrating with AI APIs. Familiarity with Docker, Kubernetes, or cloud deployment workflows. Exposure to performance tuning and scalable backend systems. Why Join Us? Work directly with experienced founders and AI practitioners. Contribute to a cutting-edge AI product with direct user impact. Accelerated learning and rapid growth through intense ownership. Not a typical 9-to-5 job—expect flexibility, ownership, and energy, especially around key launches. Interview Process: Short coding task Final interview (Technical + Culture fit)

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