Engineering Manager (AI)

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

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

Smart Ship© Hub is a fast-growing digital platform for global maritime. Headquartered in Singapore and with its engineering cum customer support Centre in India, Smart Ship Hub is top 5 digital transformation company in the world. Its clients include 2 of the world’s top 5 maritime companies and others who are leading in specific regions. We are part of the largest transport mode; maritime transport is a 20 Trillion $ global industry and undertakes about 90% of global trade volume.

Smart Ship Hub partners with the most reputed names in the industry including across Singapore, Japan, Europe, Middle East, India. Our digital platform aimed at merchant ships, oil rigs, offshore facilities, tug and barges, fishing vessels, ferries, RORO’s includes every ocean and river-based assets. The proprietary platform leverages the power of IOT, Big data, ML and Mobility to bring in unique experience of predictive diagnostics, condition and health monitoring, remote monitoring – management and control.

We help our customers to save millions of dollars and enhance their operational efficiencies by up to 30%.

Smart Ship© Hub has its offices in Singapore and Pune, India and global network of engineering support services across 4 locations (China, Dubai, Rotterdam, Japan). We are in process of setting up of our Japan operations in Tokyo.