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Rarr Technologies
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SR. LLM Engineer GEN AI

SR. LLM Engineer GEN AI

Rarr Technologies

3 - 4 years

5 - 6 Lacs

Gurugram

Posted:22 hours ago| Platform:

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Skills Required

Performance tuning System architecture Usage GCP Focus Machine learning Architectural design System design Python SQL

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role Title: Senior LLM Engineer GenAI / ML (Python, Langchain)

Role Overview

We are seeking highly skilled and experienced Senior LLM Engineers with a strong background in Machine Learning and Software Engineering who have transitioned into Generative AI (GenAI) and Large Language Models (LLMs) over the past 3 4 years. This is a hands-on engineering role focused on designing, building, and deploying GenAI-based systems using state-of-the-art frameworks and tools. The role involves active participation in architectural design, model fine-tuning, and cross-functional collaboration with business stakeholders, data teams, and engineering leaders to deliver enterprise-grade GenAI solutions.

Key Responsibilities

GenAI System Design: Architect and develop GenAI/LLM-based systems using frameworks like LangChain and Retrieval-Augmented Generation (RAG) pipelines. Prompt Engineering & Agent Design: Implement advanced prompt engineering strategies and agent-based workflows to build intelligent, context-aware AI systems. Technical Roadmapping: Collaborate with product and engineering stakeholders to define and drive the technical roadmap for LLM and GenAI initiatives. AI Solution Delivery: Translate complex business requirements into scalable, production-ready AI solutions. Cross-functional Collaboration: Work closely with business SMEs, product owners, and data engineering teams to align AI models with real-world use cases. System Optimization: Contribute to code reviews, system architecture discussions, and performance tuning of deployed models.

Required Skills

7 12 years of total experience in ML/Software Engineering, with 3 4 years of recent experience in LLMs and Generative AI. Strong proficiency in Python, LangChain, and SQL. Deep understanding of LLM concepts including: Prompt tuning Embeddings EMB Global | www.emb.global Vector databases (e.g., FAISS, Pinecone) Agent frameworks Experience working with cloud platforms such as AWS, Azure, or GCP. Solid understanding of ML pipelines, deployment strategies, and GenAI use cases. Ability to work independently and collaboratively in fast-paced, cross-functional environments. Strong verbal and written communication skills; ability to engage effectively with technical and non-technical stakeholders.

Preferred Qualifications

Minimum 1+ years of hands-on experience specifically in LLM/GenAI-focused implementations. Experience delivering ML/AI products from prototyping through to production. Familiarity with MLOps, CI/CD, containerization, and scalable AI model deployment. Prior involvement in client-facing projects or cross-functional teams building production-ready AI systems.

Llm

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SR. LLM Engineer GEN AI