Remote Job Opportunity

We are seeking an experienced, architect-level Senior Python Engineer (AI) with a proven track record of designing, building, and deploying scalable production systems and AI-powered architectures. If you have 7+ years of professional engineering experience and have successfully shipped production-grade AI applications, large language model (LLM) workflows, and cloud-native systems, we want you on our team.

📋 Position Overview

Role: Senior Python Engineer (AI)
Location: Remote (Worldwide / Flexible) 🌍
Employment Type: Full-Time
Core Focus: AI System Architecture, LLM Integrations, and Scalable Backend Engineering

🚀 Key Responsibilities

AI Architecture & Pipelines: Design, optimize, and maintain production-grade Retrieval-Augmented Generation (RAG) pipelines, semantic search engines, and advanced vector database workflows.
Backend Engineering: Build highly scalable, performant, and secure RESTful APIs, asynchronous background workers, and microservices.
Technical Leadership: Lead system architecture design decisions, conduct rigorous code reviews, champion engineering best practices, and mentor junior/mid-level engineers.
DevOps & Cloud Orchestration: Deploy and manage resilient, distributed application infrastructures across major cloud platforms using modern containerization and orchestration tools.

🎯 Technical Requirements

Experience: Minimum of 7+ years of professional software engineering experience, with a heavy focus on backend architecture and distributed systems.
Core Python Stack: Deep structural expertise in Python and its premier web frameworks (FastAPI, Django, or Flask).
AI & LLM Integration: Hands-on experience deploying commercial and open-source LLMs into client-facing applications, working with vector databases (e.g., Pinecone, Milvus, Qdrant, Chroma), and handling embeddings.
Cloud Infrastructure: Strong functional competency across cloud ecosystems (AWS, GCP, or Microsoft Azure).
Containerization & CI/CD: Practical production experience with Docker, Kubernetes, Jenkins, and modern CI/CD automation practices.

🌟 Nice to Have (Bonus Skills)

Advanced orchestration using frameworks like LangChain or LlamaIndex.
Deep knowledge of model evaluation techniques, semantic caching, and prompt engineering protocols.
Expert-level understanding of complex distributed systems and advanced Kubernetes clustering.

📩 How to Apply

If you enjoy solving complex architectural challenges and thrive at the intersection of backend engineering and applied AI, we'd love to connect with you.

👉 Apply Directly: Please submit your resume, GitHub profile link, and a brief summary of the AI-enabled products you have successfully shipped to our recruiting pipeline.

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