Korza - AI Engineer
Requirements
• 4+ years • Korza.ai • Korza follow a unique Consulting + Product model: our engineers solve real, high-stakes AI challenges for global clients across the US, UK, and Europe, identify common engineering patterns, and convert those learnings into scalable AI platforms and products. The India team is being built as our core engineering hub, designed for top-tier engineers who want to architect real AI systems rather than perform routine development work. • Core Backend Mastery: Strong problem-solving and analytical skills with solid fundamentals in modern backend technologies (Python, Go, Java, or Node.js). • Core Backend Mastery: • System Architecture: Solid understanding of data structures, REST/gRPC APIs, SQL/NoSQL databases, and distributed systems design. • System Architecture: • AI/ML Technical Exposure: Hands-on experience or direct exposure to LLMs, RAG frameworks (e.g., LangChain, LlamaIndex), model integrations, or AI/ML data pipelines. • AI/ML Technical Exposure: • Production Operations: Proven track record of building, deploying, operating, and scaling backend systems in production cloud environments. • Production Operations: • Problem-Solving Mindset: Ability to take ambiguous business and technical requirements and turn them into robust, clean software solutions. • Problem-Solving Mindset:
Responsibilities
• Architect AI Infrastructure: Design and build backend services, data pipelines, and orchestration workflows for LLMs and agent-based systems. • Architect AI Infrastructure: • Ship Production-Grade Code: Write high-performance, clean, testable code to serve high-throughput AI workflows and data-driven systems. • Ship Production-Grade Code: • Integrate & Scale: Build resilient APIs and pipelines integrating foundational models, vector data stores, and backend microservices across cloud environments. • Integrate & Scale: • Drive Productization: Translate ambiguous enterprise client problems into robust, scalable platform components and reusable AI products. • Drive Productization: • Cross-Functional Collaboration: Partner directly with ML engineers, product leads, and frontend developers to rapidly ship cutting-edge AI capabilities. • Cross-Functional Collaboration:
Benefits
• Real AI Engineering: Work on genuine AI projects and complex systems for global Fortune 100–1000 clients across the US, UK, and Europe. • Real AI Engineering: • Product Impact: Participate in defining the future of AI-driven software development by turning client insights into next-generation AI platforms. • Product Impact: • Core Engineering Ownership: Be a pivotal member of our core engineering hub in Bangalore, working in an ambitious, high-growth environment. • Core Engineering Ownership:
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