Zorba AI
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Delhi · On-site · 6-9 Yrs · Sep 30
Hiring: Engineering
Job description
Overview
Key Responsibilities Design, build, and deploy Generative AI solutions using Snowflake Cortex AI and AWS Bedrock Architect and implement Retrieval-Augmented Generation (RAG) pipelines Develop and fine-tune Large Language Models (LLMs) Apply NLP and Deep Learning techniques for enterprise use cases Optimize prompt engineering, embeddings, vector databases, and inference pipelin
Responsibilities
- Design, build, and deploy Generative AI solutions using Snowflake Cortex AI and AWS Bedrock Architect and implement Retrieval-Augmented Generation (RAG) pipelines
- Develop and fine-tune Large Language Models (LLMs) Apply NLP and Deep Learning techniques for enterprise use cases
- Optimize prompt engineering, embeddings, vector databases, and inference pipelines
- Collaborate with engineering and business stakeholders to deliver AI-driven solutions
- Design, build, and deploy Generative AI solutions using Snowflake Cortex AI and AWS Bedrock Architect and implement Retrieval-Augmented Generation (RAG) pipelines
- Develop and fine-tune Large Language Models (LLMs) Apply NLP and Deep Learning techniques for enterprise use cases
- Optimize prompt engineering, embeddings, vector databases, and inference pipelines
- Collaborate with engineering and business stakeholders to deliver AI-driven solutions
- Ensure scalability, security, and performance of AI systems in production Mentor junior data scientists and contribute to AI governance best practices Educational Requirements:Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or related quantitative fields.Certifications in AI, Data Science, Big Data, or Cloud Technologies are a plus.Skills: aws,rag,bedrock,deep learning,llm,neuro-linguistic programming (nlp)
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Job application FAQ
Last updated 25 October 2026
- How do I apply for LLM Engineer at Zorba AI?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Zorba AI may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this LLM Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is LLM Engineer remote or on-site in New Delhi, Delhi?
- This listing is marked on_site with location New Delhi, Delhi. Confirm details on the job description before applying.
- What skills matter for this LLM Engineer role at Zorba AI?
- This is a mid-level LLM Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.