Agentic AI

Desired Competencies (Technical/Behavioral Competency)

Must-Have**

• Deep learning techniques such as GPT, VAE, and GANs.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools. 
• Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python, Java, or C++. 
• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. 
• Solid understanding of data structures, algorithms, and statistics. 
• Proficiency in model development, training, and evaluation. 
• Familiarity with deep learning, NLP, and computer vision. 
• Experience with data preprocessing, feature engineering, and model deployment.

Good-to-Have

• Knowledge of Generative AI, LLMs, and transformer architectures.

SN

Responsibility of / Expectations from the Role 

1

Main Responsibilities of a Generative AI Engineer

Your main responsibilities will include:

• Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE (Variational AutoEncoders), and GANs (Generative Adversarial Networks).
• Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
• Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
• Optimizing existing generative AI models for improved performance, scalability, and efficiency.
• Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
• Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
• Contributing to the establishment of best practices and standards for generative AI development within the organization.
• Providing technical mentorship and guidance to junior team members.