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Full-Stack Python Developer
Apply Before
Apr 10, 2026
Place of work
Bisrate Gebriel, Addis Ababa)
Employment type
Full time
Requirnment
Full-Stack Python DeveloperLocation: On Site (Bisrate Gebriel, Addis Ababa)Experience: 2+ YearsTech Stack: Python (FastAPI), React/Next.js, LangChain/LangGraphThe OpportunityWe are looking for a high-energy full-stack Python Developer to help us build the next generation of LLM-powered applications. In this role, you will work across the entire stack writing high-performance Python backends, integrating vector databases, and building responsive React frontends that bring AI agents to life.This is an ideal role for an engineer who has mastered the fundamentals of Python and modern web frameworks and is ready to dive deep into the production-grade AI ecosystem.What You Will Build?- End-to-End AI Features: Develop and deploy features from the database layer to the UI, ensuring LLM responses are quick, accurate, and interactive.- FastAPI Microservices: Write clean, asynchronous Python code to power our inference engine and RAG (Retrieval-Augmented Generation) pipelines.- Streaming User Interfaces: Build React components that handle real-time data streaming (WebSockets/SSE) to create "typewriter" effects and interactive AI chat states.- Agentic Workflows: Assist in implementing stateful AI agents using LangGraph, helping manage complex logic like retries, loops, and tool-calling.- Vector Search Integration: Work with Qdrant to manage semantic search, metadata filtering, and document chunking strategies.- Performance Tuning: Monitor and optimize API latency (TTFT) and frontend rendering to ensure a snappy user experience.
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How to apply
Full-Stack Python Developer Location: On Site (Bisrate Gebriel, Addis Ababa) Experience: 2+ Years Tech Stack: Python (FastAPI), React/Next.js, LangChain/LangGraph The Opportunity We are looking for a high-energy full-stack Python Developer to help us build the next generation of LLM-powered applications. In this role, you will work across the entire stack writing high-performance Python backends, integrating vector databases, and building responsive React frontends that bring AI agents to life. This is an ideal role for an engineer who has mastered the fundamentals of Python and modern web frameworks and is ready to dive deep into the production-grade AI ecosystem. What You Will Build? - End-to-End AI Features: Develop and deploy features from the database layer to the UI, ensuring LLM responses are quick, accurate, and interactive. - FastAPI Microservices: Write clean, asynchronous Python code to power our inference engine and RAG (Retrieval-Augmented Generation) pipelines. - Streaming User Interfaces: Build React components that handle real-time data streaming (WebSockets/SSE) to create "typewriter" effects and interactive AI chat states. - Agentic Workflows: Assist in implementing stateful AI agents using LangGraph, helping manage complex logic like retries, loops, and tool-calling. - Vector Search Integration: Work with Qdrant to manage semantic search, metadata filtering, and document chunking strategies. - Performance Tuning: Monitor and optimize API latency (TTFT) and frontend rendering to ensure a snappy user experience.
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