Smart Ship Hub Digital Singapore | Japan | India We are seeking a highly skilled and hands-on Engineering Manager to lead and scale our engineering team at Smartshiphub. The ideal candidate will bring strong 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. Key Responsibilities Lead and mentor a team of engineers while remaining hands-on with architecture, system design, and development. Architect and build scalable microservices-based platforms and AI-enabled enterprise products. Design and deliver high-performance, high-availability systems capable of scaling to large workloads. Drive development of AI-powered applications including Agentic systems, LLMs, and RAG-based solutions. Collaborate with product and business teams to translate requirements into robust technical solutions. Ensure delivery using Agile sprint processes and structured SDLC practices. Establish engineering best practices around code quality, testing, architecture documentation, and observability. Guide the team in adopting contemporary AI developer tools and automation to enhance productivity. Drive architecture decisions for data pipelines, big data platforms, and distributed systems. Required Skills & Qualifications Experience 10 – 14 years of software development experience 3+ years of Engineering Manager / Technical Leadership experience Strong communication, stakeholder management, and presentation skills Core Technology Stack 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 Development of RAG (Retrieval Augmented Generation) pipelines Experience with frameworks and tools such as: 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 optimization Large-scale data storage strategies Distributed Systems & Messaging Experience with event-driven architecture and messaging platforms: Kafka Redis RabbitMQ DevOps & Cloud Hands-on experience with cloud-native infrastructure: Docker Kubernetes Nginx AWS GCP 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 Unit testing Performance optimization AI Developer Productivity Tools Experience leveraging modern development tools such as: ChatGPT Cursor Other AI-assisted development tools Preferred Qualifications 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

📌 Engineering Manager (AI) (Pune)
🏢 Smart Ship Hub
📍 Pune