AI Lead (Generative AI)-4

Role overview

Responsibilities

• check_circle Contribute to prompt engineering and development of AI-powered workflows
• check_circle Assist with the deployment, monitoring, and maintenance of AI models in production environments.
• check_circle Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities.
• check_circle Perform data preprocessing, feature engineering, and API development for AI applications.
• check_circle Participate in code reviews, testing, and documentation to ensure quality and reliability.
• check_circle Stay updated with advancements in GenAI and share relevant learnings with the team.

Basic qualifications

• Familiarity with LLMs, prompt engineering, and workflow orchestration.
• Exposure to RAG systems and basic knowledge of hybrid search techniques.
• Exposure to Multi-Agent systems.
• Understanding of model deployment and containerization (Docker).
• Proficiency in Python for AI development, data preprocessing, and scripting.
• Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus.
• Understanding of version control systems (Git).
• Awareness of AI compliance, data privacy, and responsible AI principles.
• Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras). (Advantageous)