GenAI/LLM Practitioner at KnowDis AI

(26M34)

FreshieHire Author
Salary
Not Disclosed
Location
New Delhi

Highlights

Design and optimize cutting-edge NLP solutions. Work with top-tier frameworks like PyTorch and Langchain. Collaborate across teams to innovate AI-driven products.


Description

Job Summary

pJoin KnowDis AI, a pioneering research-driven startup in NLP and Generative AI. As a GenAI/LLM practitioner, you'll design, test, and optimize LLM-driven solutions for real-world business challenges. Work with cutting-edge tools like PyTorch and Langchain to create high-quality prompts and workflows. Collaborate across teams to turn ideas into actionable AI solutions.

Responsibilities

  • Design and optimize LLM-driven solutions
  • Create, refine, and manage high-quality prompts and workflows
  • Rapidly prototype GenAI applications using existing tools and APIs
  • Evaluate LLM outputs for accuracy, bias, safety, and reliability
  • Stay current with new models and trends in Generative AI
  • Collaborate with business and technical teams to translate ideas into working solutions

Required Skills

  • PyTorch proficiency
  • LLM fine-tuning expertise
  • Prompt engineering skills
  • AI framework knowledge (e.g., Langchain, LangGraph)
  • Data analysis and interpretation

Required Skills Explained

  • Pytorch: A library for deep learning that allows you to define and train neural networks efficiently.
  • LLM Finetuning: The process of adapting pre-trained large language models (LLMs) to specific tasks or domains by retraining them with domain-specific data.
  • Framworks - Langchain, LangGraph: Tools for building and deploying AI applications that interact with LLMs, including prompt engineering and model management.

Who is this for

pThis role is ideal for hands-on professionals with a passion for AI. You should have practical experience in GenAI applications and be eager to work on real-world business problems. A strong understanding of LLM capabilities and limitations, along with a commitment to responsible use, is essential.

Why This Job is a Good Opportunity

ulliWork on cutting-edge technology in NLP and Generative AI, contributing to innovative solutions for various industries.liPotential for rapid career growth in a fast-paced startup environment with a focus on practical application of LLMs.liOpportunity to collaborate with diverse teams and tackle real-world business problems using AI technologies.

Interview Preparation Tips

  • Prepare examples from your past experience where you have applied or fine-tuned LLM models in practical settings.
  • Familiarize yourself with common issues related to LLM outputs, such as accuracy, bias, and safety concerns.
  • Research the latest advancements in LLM tools and frameworks used by KnowDis, like Langchain and LangGraph.

Career Growth in This Role

pThe role offers significant opportunities for skill development and career advancement. With hands-on experience in designing and optimizing AI solutions, you can deepen your expertise in prompt engineering and real-world applications of LLMs. As a fast learner, you will stay ahead of the curve by continuously adapting to new models and trends in Generative AI. Collaboration with business teams will also enhance your ability to translate complex ideas into practical AI solutions, setting a solid foundation for higher roles within the tech industry.

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Skills

Frequently Asked Questions

What kind of experience is required for this role?

Candidates should have practical experience in GenAI applications, prompt engineering, and LLM tools like PyTorch and Langchain.

Is remote work an option?

Yes, the position offers flexible remote work options with occasional in-office collaboration.

What kind of support is provided for new hires?

KnowDis provides comprehensive onboarding and continuous learning opportunities to help you excel in your role.

About the Author

FreshieHire Author
Hi, this is KD. On my blogs, you will find the best jobs for freshers all at one place. We curate jobs for you from various sources and combine them all at one place. Hope you got some value. : )
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