Engineering Manager (AI)

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 modern AI developer tools and automation to enhance productivity.
• Drive architecture decisions for data pipelines, big data platforms, and distributed systems.

Required Skills & Qualifications

• 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

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

• Strong experience with:
• Python
• PySpark
• Big Data ecosystems
• Hadoop
• Experience building large-scale data processing pipelines and ML data workflows.

• Strong experience with:
• PostgreSQL
• MySQL
• Knowledge of:
• Database sharding
• Query optimization
• Large-scale data storage strategies

Experience With Event-driven Architecture And Messaging Platforms

• Kafka
• Redis
• RabbitMQ

Hands-on Experience With Cloud-native Infrastructure

• Docker
• Kubernetes
• Nginx
• AWS
• GCP

• 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

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