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.

📌 Engineering Manager Ai/ Ml Bengaluru
🏢 CIEL HR
📍 Bengaluru