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About the role
Engineering Manager ( AI/ ML)Skills: Backend & Frontend: Java, Node.js, React.js, TypeScript Databases: PostgreSQL, MySQL DevOps & Cloud: Docker, Kubernates, Nginx, AWS, GCP Distributed Systems Components: Kafka, Redis, RabbitMQ AI / LLM & Agentic Systems: LLM, RAG, Frameworks (LangChain, LLaMA, YOLO, Roboflow, NeMo) Data Engineering & Big Data: Python, PySpark, Big Data ecosystems, Hadoop Experience building large-scale data processing pipelines and ML data workflows. Experience building AI-driven SaaS platforms Prior experience scaling engineering teams and distributed systems Robust knowledge of system reliability, scalability, and observability Experience integrating AI/ML models into real-time production systems Solid experience working with Microservices architecture Experience delivering high-scale, production-grade enterprise systems Experience with Agile development methodologiesThe ideal candidate will bring solid expertise in modern distributed systems, cloud-native architectures, and AI-driven platforms, including experience building LLM-powered enterprise products. This role requires a leader who can drive architecture, design, and development, while mentoring engineers and ensuring delivery of high-performance, production-grade systems. .
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