Generative AI Engineer

Minimum 12-15 years of experience

Key Responsibilities:

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

Required Technical Skills:

• 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)

Required Soft Skills:

• Strong teamwork and communication abilities.
• Willingness to learn new AI/ML technologies and frameworks.
• Analytical mindset and attention to detail.
• Openness to feedback and continuous improvement.