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Full Stack Developer

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Job Description - Full Stack Developer


Lingpad is building next-generation AI-powered customer support solutions that integrate deeply with platforms, helping businesses deliver fast, accurate, and scalable support experiences.

Role Overview



We are looking for a highly skilled Full Stack Engineer who can take ownership of features end-to-end — from backend architecture to frontend experience. You will work on building scalable APIs, AI-powered workflows, and intuitive UI components that directly impact thousands of users.










Requirements

      Technical Stack



  • Backend: Python (Django, Django REST Framework, FastAPI)

  • Frontend: Angular / React

  • Infrastructure: AWS (Lambda, EC2, S3, RDS)

  • Databases: PostgreSQL, Redis

  • Messaging/Queue: Celery

  • Integrations: third-party APIs

  • AI: OpenAI / Anthropic APIs (LLM-based features)



      



       



      Key Responsibilities







  • Build and maintain scalable backend systems using Django / FastAPI.

  • Develop clean, responsive frontend applications using Angular or React.

  • Design and implement robust REST APIs and microservices.

  • Integrate third-party services (Intercom, CRMs, etc.) to enhance product capabilities.

  • Implement and iterate on AI-powered features leveraging LLM APIs.

  • Optimize application performance, scalability, and reliability across the stack.

  • Write clean, testable, and maintainable code following best practices.

  • Collaborate effectively with product, design, and QA teams throughout the development lifecycle.

  • Take complete ownership of features, from initial conception to production deployment.









      Required Qualifications







  • Strong professional two years of experience in Python (Django / FastAPI).

  • At least 2 years of experience with modern JavaScript frameworks (Angular or React).

  • Good understanding of REST APIs and system design principles.

  • Experience with relational and non-relational databases, specifically PostgreSQL, DynamoDB and Redis.

  • Hands-on experience with Celery or other background job processing systems.

  • Familiarity with AWS services relevant to deployment and infrastructure.

  • Proficiency with Git and CI/CD pipelines.

  • Demonstrated strong problem-solving and analytical mindset.







      Preferred Qualifications







  • Experience working with LLMs (OpenAI / Anthropic) and AI-driven features.

  • Knowledge of microservices architecture.

  • Experience developing real-time systems (e.g., websockets).

  • Understanding of strategies for scaling high-traffic applications.

  • Prior experience working in a fast-paced startup environment.


















Benefits



      Benefits and Culture



  • Opportunity to work on cutting-edge AI products that redefine customer support.

  • High level of ownership and direct impact on the company's success.

  • Engaging, fast-moving startup culture that values builders.

  • The chance to contribute significantly to building the product and engineering culture from the ground up.











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