Full Stack/Backend developer for a new AI Platform product for superapp.

Why is the position open?

Launch of a new major data analysis product (AI platform). It is necessary to build a backend from scratch and ensure stable quality at a high release rate.

, Main tasks

• Developing the backend part in FastAPI (Python).
• Create and maintain a chat interface (UI) without critical bugs.
• API implementation for uploading files (Excel, CSV, PDF), decryption, and integration with AI models.
• Integration of AI/ML models and RAG (Retrieval-Augmented Generation).
• Working with vector databases (Milvus, Pinecone, Weaviate, Qdrant, etc.).
• Integration with cloud storage (AWS S3, GCS, Azure Blob).
• Working with PostgreSQL (main storage) and MongoDB Atlas (metadata, documents).
• Participation in MongoDB → PostgreSQL data migration.
• CI/CD configuration and support, self-deployment (Docker).
• Configuring data exchange via gRPC and REST API.
• Optimize performance and ensure application security.
• Setting up and maintaining a knowledge base for uploading and analyzing reports.
• Support for agents to analyze and compare different reports (MVP functionality).

✅ Requirements

• Development experience of at least 4 years in commercial development.
• Excellent knowledge of Python, experience working with FastAPI.
• Understanding and practical experience working with LLM, prompta, RAG and vector databases.
• Experience working with PostgreSQL and MongoDB Atlas.
• Experience working with cloud storage (S3, GCS, Azure Blob).
• File management skills: Excel, CSV, PDF.
• Experience working with Docker, CI/CD setup (self-release).
• Understanding the principles of secure application development.
• High learning ability, willingness to quickly learn new technologies.
• The ability to write and adjust prompta to improve the quality of the output analytics.

, Will be a plus

• JavaScript/TypeScript development experience (Next.js / React).
• Experience in designing and supporting ETL processes/or understanding the construction of ETL processes.
• Experience in integration with BI systems and building analytical interfaces.
• Understanding the principles of architectural design for scalable systems

Conditions and processes

• Format: full-time, the development and product team is in constant communication (Telegram, sprints, retro).
• Metrics for the first month: the number of bugs found, priorities, and critical bugs in production.
• The atmosphere is open and friendly, we appreciate initiative and independence.