Why Join HYCU?

HYCU is the fastest-growing leader in the multi-cloud and SaaS data protection as a service industry. By bringing true SaaS-based data backup and recovery to on-premises, cloud-native, and SaaS IT environments, the company provides unrivaled data protection, migration, disaster recovery, and ransomware protection to thousands of companies worldwide. The company's award-winning R-Cloud platform eliminates complexity, risk, and the high cost of legacy-based solutions, providing data protection simplicity to make it the #1 SaaS Data Protection platform. With an industry leading NPS score of 91, HYCU has raised $140M in VC funding to date and is based in Boston, Mass. Learn more at www.hycu.com.

Overview

We are seeking a LLM Engineer (Large Language Model Engineer) that will be responsible for developing, optimizing, and operationalizing Large Language Model capabilities that power data understanding, reasoning, and insight generation across AI products.

We are building next-generation Generative AI products that deliver actionable data insights at enterprise scale.



Our platform leverages Large Language Models (LLMs), advanced data pipelines, and AI agents to help organizations reason over data, generate insights, and make informed decisions. We focus on building secure, scalable, explainable, and production-grade AI systems.

Location:
- Bangalore, India (Hybrid; 3 days onsite/2 days remote)

What You’ll Do:
- Design, develop, and maintain LLM-based workflows for data analysis and insight generation
- Build prompt strategies, templates, and system instructions for reliable and accurate model behavior
- Implement retrieval-augmented generation (RAG), tool calling, and multi-step reasoning workflows
- Evaluate and improve model quality, latency, and cost efficiency
- Collaborate with data, knowledge, and applied AI engineers to improve grounding and relevance
- Develop and optimize prompts and workflows for complex data reasoning use cases
- Continuous

📌 LLM Engineer (Bengaluru)
🏢 Hycu
📍 Bengaluru