Generative AI/LLM Engineer

Soothsayer Analytics

Hyderabad

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+

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Benefits offered by this job

Full-Time Employment

Job summary

A leading company in IT Services and Consulting is seeking a Generative AI/LLM Engineer in Hyderabad. The ideal candidate will have a strong background in building and deploying AI models using technologies like GPT-4 and Azure. This full-time role requires expertise in both generative AI and Python frameworks, with responsibilities including model design, implementation of advanced techniques, and continual learning in emerging AI technologies.

Qualifications

1+ years of experience in Generative AI/LLM technologies required.
Proficiency in Python and frameworks like LangChain and FastAPI.
Familiarity with MLOps and CI/CD processes.
Strong problem-solving abilities.

Responsibilities

Design and deploy generative AI models using GPT-4 technologies.
Implement Retrieval-Augmented Generation techniques for data-driven solutions.
Manage AI services and develop APIs for integration.
Research and adopt latest advancements in AI technologies.

Skills

Python

Generative AI

Retrieval-Augmented Generation (RAG)

Vector Databases

MLOps

CI/CD

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science, AI, Data Science

Tools

LangChain

LlamaIndex

FastAPI

Quart

Cosmos DB

SQL

Job description

Join to apply for the Generative AI/LLM Engineer role at Soothsayer Analytics

About the Role:

We are seeking a talented Generative AI/LLM Engineer with a strong background in building and deploying AI models, focusing on leveraging state-of-the-art technologies like Azure OpenAI GPT-4, GPT-4 Vision, or GPT-4 Omni. Experience with Retrieval-Augmented Generation (RAG) and working with Vector Databases is essential. While fine-tuning large language models (LLMs) is a plus, it is not mandatory. A general understanding of how deep learning models are trained or fine-tuned is required. The ideal candidate should be able to quickly learn and implement advanced techniques, even if they do not initially possess all the required experience.

Company : Soothsayer Analytics

Working Hours : Full-Time

No. of Positions : 4

Locations : Hyderabad

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Position Overview

About the Role:

We are seeking a talented Generative AI/LLM Engineer with a strong background in building and deploying AI models, focusing on leveraging state-of-the-art technologies like Azure OpenAI GPT-4, GPT-4 Vision, or GPT-4 Omni. Experience with Retrieval-Augmented Generation (RAG) and working with Vector Databases is essential. While fine-tuning large language models (LLMs) is a plus, it is not mandatory. A general understanding of how deep learning models are trained or fine-tuned is required. The ideal candidate should be able to quickly learn and implement advanced techniques, even if they do not initially possess all the required experience.

Key Responsibilities

Design, develop, and deploy generative AI models using GPT-4 variants, including GPT-4 Vision and GPT-4 Turbo, tailored to address specific business needs.
Implement and optimize Retrieval-Augmented Generation (RAG) techniques for enhanced data-driven solutions.
Build and manage AI services using Python frameworks such as LangChain or LlamaIndex, and develop APIs with FastAPI or Quart for efficient integration.
Focus on scalability, performance, and optimization of AI solutions across cloud environments, particularly with Azure and AWS.
Work with Vector Databases (mandatory) and optionally Graph Databases for enhanced data management.
Utilize Cosmos DB and SQL for robust data storage and management solutions.
Apply MLOps or LLMOps practices to automate and streamline the AI model lifecycle, including CI/CD pipelines, monitoring, and maintenance.
Implement and manage Azure Pipelines for continuous integration and deployment.
Continuously research and adopt the latest advancements in AI, with a focus on quick learning and implementation of emerging technologies.

Required Skills And Qualifications

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
A minimum of 1+ years of experience specifically in Generative AI/LLM technologies, and 5+ years of experience in related fields.
Proficiency in Python and experience with frameworks like LangChain, LlamaIndex, FastAPI, or Quart.
Expertise in Retrieval-Augmented Generation (RAG) and experience with Vector Databases (mandatory).
Experience with Cosmos DB and SQL.
Fine-tuning LLMs and experience with Graph Databases are good to have but not mandatory.
Proven experience in MLOps, LLMOps, or DevOps with a strong understanding of CI/CD processes, automation, and pipeline management.
Familiarity with containers, Docker, or Kubernetes is a plus.
Familiarity with cloud platforms, particularly Azure or AWS, and experience with cloud-native AI services.
Strong problem-solving abilities and a proactive approach to learning new AI trends and best practices quickly.

Seniority level