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.
Experience
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
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:
- Knowledge of:
- Database sharding
- Query optimization
- Large-scale data storage strategies
Distributed Systems & Messaging
Experience With Event-driven Architecture And Messaging Platforms
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
