
Backend Engineer
3 days ago
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.
Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and why they are a good fit for Jetbro to
Requirements Mandatory Requirements:
- 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.
Benefits Benefits:
- 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.
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