LLM Engineer

Posted 6 Days Ago
Be an Early Applicant
Bangalore, Bengaluru Urban, Karnataka
In-Office
Senior level
Software
The Role
Design, develop, and productionize LLM-based workflows (RAG, tool-calling, multi-step reasoning). Build and optimize prompts, embeddings, vector DB integrations, and streaming inference. Evaluate, monitor, and improve model quality, latency, and cost; support deployments and troubleshooting.
Summary Generated by Built In

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: AuthenticityGrit 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. 

Top Skills

Python,Openai Api,Anthropic Api,Langchain,Llamaindex,Embedding Models,Vector Db,Rag Architecture,Streaming Inference,Llm Apis
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The Company
HQ: Boston, MA
315 Employees
Year Founded: 2018

What We Do

At HYCU, we believe that every business should be safe. Our mission is to build a safer world.

With our data protection as a service platform, we make it easy for you to move your data freely, easily, and safely without the burden of managing and scaling backup infrastructure. HYCU is:

Built for your tech stack, today and tomorrow​

Engineered to ​ be shockingly ​simple

Designed for the ​people behind the​ data​

As an award-winning and recognized visionary in the industry, HYCU solutions eliminate complexity, risk, and the high cost of legacy-based solutions, providing data protection simplicity to make the world safer. With an industry-leading NPS score of 91, customers experience frictionless, cost-effective data protection, anywhere, everywhere.

Interested in learning more? Check us out at www.hycu.com and follow us on Twitter @HYCUinc

Looking to make a difference with #TeamPurple? Check our openings: www.hycu.com/about/career

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