Backend Engineer (Python)

Company Overview:

Key Responsibilities:

• Develop robust, scalable APIs using

  Python Django

  to support student onboarding, essay/recommendation creation, counselor collaboration, and admin dashboards.
• Design and manage

  PostgreSQL

  schemas for essay versioning, user profiles, college application workflows, and credit usage tracking.
• Integrate with

  AI APIs

  (OpenAI, Gemini, etc.) to power dynamic essay brainstorming, evaluation scoring, and conversational feedback loops.
• Implement support for

  vector data management

  using platforms like Pinecone, AstraDB, or Weaviate, enabling semantic search and embedding-based analysis.
• Build and maintain backend modules for session management, user authentication, role-based access control (student, counselor, admin), and autosave/version tracking.
  
• Ensure seamless integration between backend services and frontend (React + NextJS) applications via clean API contracts.
  
• Manage secure deployment using

  Docker

  , GitHub workflows, and cloud platforms (AWS/GCP/Azure), maintaining both staging and production environments.
• Collaborate cross-functionally with AI, frontend, and QA engineers to deliver sprint-wise milestones.
  

How to Apply:

• Proven experience as a

  Python Developer

  , with strong expertise in

  Django

  (FastAPI/Flask a plus).
• Solid understanding of

  RESTful API design

  , data modeling, and backend architecture.
• Experience with

  PostgreSQL

  or similar relational databases.
• Familiarity with AI model integration workflows using APIs like

  OpenAI (Chat, TTS, STT)

  .
• Strong command over

  Git

  for version control and experience working in GitHub-based collaboration models.
• Experience working with

  Docker

  for containerized development and deployments.
• Basic familiarity with

  cloud platforms

  (AWS, GCP, or Azure) for hosting and infrastructure management.
• Excellent problem-solving skills, attention to detail, and ability to write clean, production-grade code.
  

• Experience with

  vector databases

  (e.g., Pinecone, Weaviate, AstraDB) or embedding-based systems.
• Familiarity with

  LangChain

  or similar frameworks for orchestrating LLMs.
• Knowledge of

  NoSQL databases

  (MongoDB, Redis) for auxiliary use cases.
• Exposure to

  frontend stacks

  (React/NextJS) for better cross-team coordination.
• Prior experience working on

  AI-driven applications

  , education platforms, or multi-role workflow systems.

• Opportunity to work on innovative and AI-driven projects with a fast-paced digital agency.
  
• Flexible working hours and remote work options.
  
• Mentorship and growth opportunities within the organization.
  
• Collaborative and inclusive company culture.
  
• Professional development and learning opportunities.
  
• Subscriptions to developer tools like GitHub Copilot to enhance productivity.