who can design and implement scalable, efficient, and secure backend systems for high-traffic applications.
The ideal candidate should be comfortable working with cloud infrastructure, building APIs, integrating AI/ML pipelines, and optimizing system performance for production environments.
Responsibilities
Architect, develop, and maintain microservices, APIs, and data-driven systems.
Build backend pipelines supporting large-scale analytics and LLM-powered systems.
Integrate AI modules (LangChain, OpenAI, Llama2, etc.) into backend workflows.
Implement database models and query optimizations for high performance.
Design scalable REST APIs and ensure low-latency data communication.
Collaborate with frontend, DevOps, and ML teams for end-to-end delivery.
Ensure code quality, testing, documentation, and CI/CD integration.
AWS, Google Cloud Platform (GCP), Docker, Jenkins, GitHub Actions
Additional Knowledge:
RAG (Retrieval-Augmented Generation), LLM integrations, Vector Databases,
System Design, Data Structures & Algorithms, OOP Concepts
Preferred Qualifications
B.Tech/B.E. in Computer Science, Information Technology, or equivalent.
Strong foundation in backend architecture and distributed systems.
Understanding of ML/AI integration workflows and data pipelines.
Prior experience in AI/ML, Fintech, or Data Analytics projects is a plus.
Ability to work in fast-paced, research-oriented startup environments.
Why Join Kalagato
Work remotely with a high-performing, data-focused team.
Opportunity to work on cutting-edge AI + data infrastructure projects.
Competitive CTC up to ₹8 LPA based on skills and project ownership.
Exposure to real-world analytics systems impacting global businesses.
Job Type: Full-time
Pay: Up to ₹800,000.00 per year
Application Question(s):
How you can help us to do the Automation?
Work Location: Remote
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