Engineering Manager

Requirements:
Experience 10-14 years of software development experience. 3+ years of Engineering Manager / Technical Leadership experience.
Strong communication, stakeholder management, and presentation skills.
Backend & Frontend Strong hands-on experience with: Java, Node.js, React.js, TypeScript, AI / LLM & Agentic Systems.
Experience building AI-powered enterprise systems, including: Development of Agentic AI systems, Implementation of LLM-based solutions, and Development of RAG (Retrieval Augmented Generation) pipelines.
Experience with: LangChain, LLaMA, YOLO, Roboflow NeMo.
Experience building production-grade AI models and integrating them into enterprise platforms.
Data Engineering & Big Data Strong experience with: Python, PySpark, Big Data ecosystems, Hadoop.
Experience building large-scale data processing pipelines and ML data workflows.
Databases Strong experience with: PostgreSQL, MySQL.
Knowledge of: Database sharding, Query optimisation, Large-scale data storage strategies, Distributed Systems & Messaging.
Experience with: Kafka, Redis, RabbitMQ, DevOps & Cloud.
Hands-on experience with: Docker, Kubernetes, Nginx, AWS, GCP, and Development Practices.
Strong experience working with Microservices architecture.
Experience delivering high-scale, production-grade enterprise systems.
Experience with Agile development methodologies.
Familiarity with full SDLC processes, including: Functional specifications, Architecture documentation, Design specifications o Unit testing, Performance optimisation, AI Developer Productivity Tools, Experience leveraging modern development tools such as ChatGPT, Cursor Other AI-assisted development tools.
Experience building AI-driven SaaS platforms.
Prior experience scaling engineering teams and distributed systems.
Strong knowledge of system reliability, scalability, and observability.
Experience integrating AI/ML models into real-time production systems.

Experience
10-14 yrs