Senior Generative AI Engineer

Job Description

About the role

You will play a pivotal role in developing intelligent agents, implementing governance frameworks, and designing reusable AI components.

Key Responsibilities:

• Architect and develop Generative AI solutions, focusing on distributed knowledge-based systems.
• Design and implement routing mechanisms and intelligent agents for scalable AI workflows.
• Develop and optimize reusable agents for various AI-driven applications.
• Establish governance architecture to ensure ethical AI usage and compliance.
• Work with Multi-Party Computation (MPC) and other security measures to enhance AI privacy.
• Collaborate with cross-functional teams to integrate AI capabilities into business solutions.
• Ensure scalability, performance, and maintainability of AI models and systems.

• Proven experience in designing and implementing Generative AI architectures.
• Strong knowledge of knowledge-based systems, distributed AI frameworks, and agent-based AI.
• Expertise in LLMs (Large Language Models), NLP, and AI-driven automation.
• Hands-on experience with AI governance frameworks and security measures like MPC.
• Proficiency in AI/ML tools such as Python, TensorFlow, PyTorch, LangChain, OpenAI API, etc.
• Experience with distributed computing and cloud-based AI solutions (AWS, GCP, Azure).
• Strong problem-solving and analytical skills with a focus on innovation.

• Experience in building AI-driven enterprise solutions.
• Knowledge of prompt engineering, fine-tuning LLMs, and vector databases.
• Exposure to MLOps and AI model deployment best practices