Agentic AI and Generative AI Engineer

Agentic AI and Generative AI Engineer

Infosys is seeking an experienced Agentic AI and Generative AI Engineer to join our dynamic technology team. This role will focus on leveraging cutting-edge AI technologies to develop innovative solutions. If you are passionate about AI and have a strong background in machine learning, data science, and cloud platforms, we encourage you to apply.

Responsibilities:

• Design and implement Agentic AI and Generative AI solutions, including Prompt Engineering and Agent Engineering.
• Develop and deploy machine learning models using algorithms such as linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks.
• Utilize data science tools like NumPy, SciPy, Pandas, Matplotlib, TensorFlow, and Keras.
• Work with cloud computing platforms including AWS, Azure, and GCP.
• Apply Natural Language Processing (NLP) techniques, including Transformer models, attention mechanisms, and word embeddings.
• Implement Computer Vision techniques such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and object detection.
• Incorporate Robotics concepts like reinforcement learning, motion planning, and control systems.
• Ensure adherence to Responsible AI principles, including bias mitigation, fairness, transparency, and accountability.
• Design and build LLM data pipelines, focusing on preprocessing, feature extraction, and model integration.
• Lead and mentor a team of developers, providing technical direction and fostering innovation.
• Understand architecture and design fundamentals, testing tools, and agile methodologies.
• Participate in all phases of the project lifecycle for development and maintenance projects.
• Apply estimation methodologies and understand software quality assurance principles.
• Demonstrate a sound understanding of SOLID design principles and modeling methods.
• Stay updated with the latest technologies and industry trends.
• Utilize excellent problem-solving, analytical, and debugging skills.

Qualifications:

• Proficient knowledge in Responsible AI and Data Privacy principles.
• Commitment to upholding privacy standards, mitigating bias, and fostering trust.
• Strong experience in designing data pipelines for LLM creation.
• Proven leadership capabilities to guide and mentor a team.
• Knowledge of more than one technology.
• Basics of Architecture and Design fundamentals.
• Knowledge of Testing tools.
• Knowledge of agile methodologies.
• Understanding of Project life cycle activities.
• Understanding of one or more Estimation methodologies.
• Knowledge of Quality processes.
• Basics of business domain to understand business requirements.
• Strong Technical Skills.
• Good communication skills.
• Good understanding of the technology and domain.
• Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods.
• Awareness of latest technologies and trends.
• Excellent problem solving, analytical and debugging skills.

Key skills/competency:

• Agentic AI
• Generative AI
• Prompt Engineering
• Machine Learning
• Data Science
• Cloud Computing
• Natural Language Processing
• Computer Vision
• Responsible AI
• Leadership