Sr Fullstack Developer (Python+AI+React)

Job Summary

We are looking for a Full Stack Developer to build and maintain modern web applications with a focus on AI-enabled product layers, including vector databases and RAG workflows.

Requirements

Basic:

• Strong experience with Python backend development.
• Hands-on experience with FastAPI.
• Strong working knowledge of React and modern JavaScript.
• Experience building and consuming REST APIs.
• Familiarity with relational databases such as PostgreSQL or MySQL.
• Ability to work with and improve an existing codebase.
• Strong debugging and problem-solving skills.
• Experience deploying applications on cloud platforms such as AWS, Azure, GCP, Render, or Railway.
• Basic understanding of authentication, authorization, user flows, and application security.
• Familiarity with Git-based development workflows.
• Ability to write clean, maintainable, and scalable code.

AI / Data Science Awareness:

• Vector databases and semantic search.
• Embeddings and how they are used for retrieval.
• Retrieval-Augmented Generation workflows.
• Document ingestion, chunking, and indexing.
• Connecting backend application logic with LLM-based responses.
• Debugging and maintaining AI-powered product features.

Nice to have

• Familiarity with Docker.
• Experience with background jobs, queues, or scheduled tasks.
• Experience working with file uploads, document processing, or search systems.
• Prior experience with AI, chatbot, analytics, or knowledge-management applications.
• Understanding of basic data pipelines and ETL workflows.

Responsibilities

• Develop, maintain, and improve backend services using Python and FastAPI.
• Build, update, and debug React frontend components.
• Design, consume, and maintain REST APIs.
• Work with databases, application logic, and integrations across the stack.
• Understand and improve existing codebases, architecture, and workflows.
• Debug issues across frontend, backend, database, and AI-related layers.
• Support features involving vector databases, embeddings, semantic search, and RAG workflows.
• Work with existing data pipelines and document ingestion processes.
• Improve application performance, reliability, security, and maintainability.
• Collaborate with product, design, and technical stakeholders to translate requirements into working features.
• Write clean, readable, well-documented, and production-ready code.
• Participate in testing, deployment, monitoring, and release processes.

Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.