Engineering Manager (AI)

Pune - India

Monthly Salary: Not Disclosed

Posted on: 16 hours ago

Vacancies: 1 Vacancy

Job Summary

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
- 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

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 enterpri...