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
Continuously test and evaluate model outputs for accuracy, consistency, and bias
Optimize
token usage, response time, and cost without compromising quality
Contribute to best practices for LLM usage and responsible AI development
Support production deployments and troubleshoot LLM-related issues
What
We’re
Looking For:
Bachelor’s or
Master’s degree in Computer Science
, Engineering, or a related field
6–9 years of experience in software engineering, AI, or NLP-related roles
Experience working with Generative AI or NLP systems in production environments
Exposure to enterprise data or analytics platforms is a plus
Strong experience working with Large Language Models and LLM APIs
Hands-on experience with prompt engineering and prompt optimization
Good understanding of embeddings, semantic search, and RAG architectures
Proficiency
in Python and AI/ML development frameworks
Familiarity with model evaluation, experimentation, and monitoring techniques
Technical Skills Required:
Core Skills
Python
LLM API integration (OpenAI, Anthropic)
RAG architecture design
Prompt strategy & evaluation
LLM output validation techniques
Response scoring & testing
LLM Tooling (Hands-on Required)
LangChain
or LlamaIndex
Embedding models
Vector DB integration
Streaming inference handling
Preferred
Open-source LLM experimentation
Function-calling / tool-use patterns
Evaluation frameworks
Cost optimization strategies
Who We Are:
Our Core Values:
Authenticity
,
Grit
and
Empathy
are at the heart of everything we do at HYCU. All of us at HYCU take ownership in shaping and contributing to our culture. We pride ourselves in developing an inclusive and diverse company that supports our employees and customers to do extraordinary things
.
"We are at our best when we stay true to our Core Values."~
Simon Taylor, CEO
What We Offer:
Come work for one of CRN’s “
Cloud 100 Companies for 2026
”. At HYCU
you’ll
have the opportunity to build your career with a “Visionary” B2B SaaS company from
Gartner’s Magic Quadrant for Enterprise BackUp
. HYCU provides an excellent benefits package including Medical Insurance, generous time off, and more. We offer career development programs and an inclusive global culture. All our employees
participate
in our equity program.