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Engineering Manager - AI SaaS Platform

CIEL HR SERVICES LIMITED
10 - 20 Years
rupee35-75 LPA
Pune

Posted on: 21/07/2026

Job Description

Job Description :


The role is for a highly experienced technical leader who can drive the architecture, design, and development of large-scale, AI-driven SaaS platforms. The ideal candidate will have a strong background in modern distributed systems, cloud-native architectures, and AI-driven platforms, with experience building LLM-powered enterprise products.


Skills :


- Backend & Frontend : Java, Node.js, React.js, TypeScript


- Databases : PostgreSQL, MySQL


- DevOps & Cloud : Docker, Kubernates, Nginx, AWS, GCP


- Distributed Systems Components : Kafka, Redis, RabbitMQ


- AI / LLM & Agentic Systems : LLM, RAG, Frameworks (LangChain, LLaMA, YOLO, Roboflow, NeMo)


- Data Engineering & Big Data : Python, PySpark, Big Data ecosystems, Hadoop


- Experience building large-scale data processing pipelines and ML data workflows.


- 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.


- Strong experience working with Microservices architecture.


- Experience delivering high-scale, production-grade enterprise systems.


- Experience with Agile development methodologies.


Preferred candidate profile :


- 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 :


- Experience building large-scale data processing pipelines and ML data workflows


- 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


- Strong experience working with Microservices architecture


- Experience delivering high-scale, production-grade enterprise systems


- Experience with Agile development methodologies

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Posted in

Full Stack

Functional Area

Engineering Management

Job Code

1656085

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