
Golang Engineer
3 weeks ago
This is your chance to build AI-powered solutions that think, learn, and adapt.
About Quantique Minds---We're developing AI-native business platforms that fundamentally reimagine how businesses operate.
From Optima Fusion ERP to Caring Touch Healthcare systems, we're building intelligent solutions that make complex business operations simple, automated, and accessible.
Our Mission: Democratize enterprise-grade AI for every business, regardless of size or technical expertise.
The Role: Backend Intelligence Engineering---As a Backend Engineer (Golang), you'll be the system designer, integrator, and craftsman of our AI-powered backend systems.
Your efforts: Core Backend Development (70%)- Design and implement scalable solutions using Golang and Python- Build high-performance APIs serving millions of requests- Architect real-time data processing pipelines for business intelligence- Develop AI integration layers connecting LLMs to business logic- Create robust authentication, authorization, and security frameworks AI System Integration (20%)- Integrate Open AI, Claude, Gemini, and custom ML models into business workflows- Build intelligent data processing pipelines with automated decision-making- Develop real-time AI-powered business insights and recommendations- Create adaptive systems that learn from user behavior and business patterns- Implement AI-driven automation for routine business processes Infrastructure & Dev Ops (10%)- Deploy and manage cloud-native applications on GCP/AWS/Azure- Implement monitoring, logging, and observability for AI native systems- Build CI/CD pipelines for rapid, reliable deployments- Optimize performance for high-throughput, low-latency operations Technical Excellence We Seek---Essential Skills:- Golang Mastery: 3+ years building production-grade applications- Microservices: Design patterns, service mesh, distributed systems- Databases: Mongo DB, Postgre SQL, Redis for complex data architectures- Cloud Platforms: AWS/Azure with container orchestration (Docker, Kubernetes)- AI Integration: Experience with LLM APIs, machine learning workflows- API Development: RESTful services, Graph QL, real-time Web Socket connections AI-Native Expertise:- Integration with Open AI, Anthropic Claude, or similar AI services- Understanding of prompt engineering and AI response processing- Experience building intelligent automation systems- Knowledge of vector databases and semantic search- Familiarity with AI model deployment and scaling System Design Skills:- Event-driven architecture and message queues (NATS, Rabbit MQ, Apache Kafka)- Caching strategies for high-performance applications- Database optimization and query performance tuning- Security best practices for enterprise applications The Ideal Engineer---You are:- A Performance Obsessive: You optimize for milliseconds and design for millions- An AI Enthusiast: You see AI as a tool to solve complex business problems- A Systems Thinker: You understand how individual services fit into larger ecosystems- A Problem Solver: You write code that solves real business challenges- A Collaborator: You work seamlessly with frontend engineers and product teams Impact You'll Create---Year 1 Goals:- Build multiple solutions powering our AI-native ERP platform- Process 100 K+ API requests daily with
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