Senior Generative AI Engineer

2 weeks ago


Lahore, Punjab, Pakistan Aegasis Labs Full time

We are currently seeking a talented Generative AI engineer with strong expertise in AI and Python to join our dynamic team. This is an exciting opportunity to work on groundbreaking projects and make a significant impact in the field of artificial intelligence and Ai agents.

The ideal candidate will have a strong background in Python, expertise in Generative AI, and a passion for developing and fine-tuning generative AI models. You will be responsible for creating innovative solutions, optimizing models, and deploying applications that leverage the power of AI.

Key Responsibilities:

  • Develop and implement Gen AI agents and models.
  • Fine-tune and optimize generative AI models for various applications.
  • Collaborate with cross-functional teams to design and develop AI-driven solutions.
  • Build and deploy applications using Python and Flask.
  • Conduct research and stay updated on the latest advancements in Generative AI and AI agents
  • Perform data analysis and preprocessing to support model development.
  • Troubleshoot and resolve technical issues related to AI models and applications.
  • Document and present findings, progress, and results to the team and stakeholders.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Minimum of 3 years of experience in AI and Generative AI.
  • At least 1 year of experience in generative AI, including fine-tuning and model optimization.
  • Strong proficiency in langchain, langgraph and other technologies.
  • Strong communication and collaboration skills.
  • Ability to work independently and as part of a team.

Preferred Qualifications:

  • Experience with Docker and cloud deployment (e.g., AWS, Google Cloud).
  • Previous experience in a startup environment.

What We Offer:

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • A collaborative and innovative work environment.
  • Flexible working arrangements (remote/hybrid).
  • The chance to work on cutting-edge AI projects.
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