Senior Generative AI Developer

2 days ago

Udaipur, Rajasthan, India beBeeGenerativeAI Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Generative AI Engineer Opportunity

This is a highly sought-after role that requires a strong foundation in software engineering, data analysis, and AI/ML.


A Senior Generative AI Engineer at our company will be responsible for designing and developing AI models that can generate human-like text, images, and other forms of content.


The ideal candidate will have experience with deep learning frameworks such as TensorFlow or PyTorch, and will be familiar with techniques like prompt engineering, chunking, and embedding.


Responsibilities include:

  • Designing and Developing AI Models: This includes creating architectures, algorithms, and frameworks for generative AI.
  • Implementing AI Models: This involves building and integrating AI models into existing systems and applications.
  • Working with LLMs and Other AI Technologies: This includes using tools and techniques like LangChain, Haystack, and prompt engineering.
  • Data Preprocessing and Analysis: This involves preparing data for use in AI models.
  • Collaborating with Other Teams: This includes working with data scientists, product managers, and other stakeholders.
  • Testing and Deploying AI Models: This involves evaluating model performance and deploying them to production environments.
  • Monitoring and Optimizing AI Models: This involves tracking model performance, identifying issues, and optimizing models for better results.
  • Staying Up-to-Date with the Latest Advancements in Gen AI: This includes learning about new techniques, models, and frameworks.


Required Skills:

  • Strong Programming Skills in Python: Python is the preferred language for AI development.
  • Knowledge of Generative AI, NLP, and LLMs: This includes understanding the principles behind these technologies and how to use them effectively.
  • Experience with RAG Pipelines and Vector Databases: This includes understanding how to build and use retrieval-augmented generation pipelines.
  • Familiarity with AI Frameworks and Libraries: This includes knowledge of frameworks like LangChain, Haystack, and open-source libraries.
  • Understanding of Prompt Engineering and Tokenization: This includes understanding how to optimize prompts and manage tokenization.
  • Experience in Integrating and Fine-Tuning AI Models: This includes knowledge of deploying and maintaining AI models in production environments.
  • Excellent Communication and Problem-Solving Skills: This includes the ability to communicate complex technical concepts to non-technical stakeholders.


Optional Skills:

  • Experience with Cloud Computing Platforms (GCP, AWS, Azure): This can be helpful for deploying and managing AI models.
  • Familiarity with MLOps Practices: This can help with building and deploying AI models in a scalable and reliable manner.
  • Experience with DevOps Practices: This can help with automating the development and deployment of AI models.

About Us:

Our company specializes in cutting-edge AI-powered solutions.

We are passionate about leveraging technology to make a positive impact on society, and we believe that our team members are key to achieving this mission.

What We Offer:

A dynamic and supportive work environment

A competitive salary and benefits package

Opportunities for professional growth and development

A collaborative and innovative team culture

How to Apply:

To apply for this opportunity, please submit your resume and a cover letter outlining your relevant skills and experience.

Candidates who meet the minimum qualifications will be contacted for further consideration.

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