Python Developer

Job Responsibilities: • Architect, design, and optimize Python-based RAG (Retrieval-Augmented Generation) systems for real-world deployment. • Build and maintain vector databases and embedding pipelines using Redis, Faiss, or similar high-performance stores. • Develop and manage GPU-accelerated pipelines for embedding generation and model vectorization. • Design and operate Kubernetes (K8s) environments for scaling distributed micro-services and model workloads. • Integrate retrieval and generation components into larger AI/LLM ecosystems with high throughput and reliability. • Own performance tuning, profiling, and system observability for millisecond-level responsiveness. • Contribute to automation, CI/CD pipelines, and infrastructure-as-code practices. • Collaborate closely with AI engineers, data scientists, and DevOps to deliver production-grade, fault-tolerant systems. Required Technical Skills: • 5+ years of experience in Python software engineering for production systems. • Deep expertise with Redis, Kubernetes, and GPU-based computation (CUDA, PyTorch, or TensorFlow). • Proven experience designing and deploying vector databases, embedding, and RAG architectures. • Strong knowledge of FastAPI, asyncio, and micro-service architectures. • Skilled with Docker, Helm, and cloud-native stacks (AWS/GCP/Azure). • Excellent debugging, performance tuning, and system-level problem-solving skills. • Demonstrated ability to deliver high-quality code under pressure and within tight deadlines.