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Job Purpose
Leads the design, integration, and fine-tuning of generative AI models into products and services, ensuring scalability, ethics, and business alignment.
Key Responsibilities
· Define architecture and design for GenAI use cases (e.g., LLMs, image generation).
· Guide team in prompt engineering, model tuning, and evaluation strategies.
· Integrate GenAI components into enterprise platforms and applications.
· Ensure responsible use of generative models with governance and risk controls.
· Mentor junior engineers and drive technical excellence in GenAI delivery.
Minimum Qualifications
Education: Bachelor of Computer Science, Master's in AI or Data Science is a plus.
Experience: 4 years
Key Competency Requirements
Technical Skills:
· Deep understanding of GenAI stack: Transformers, RAG, diffusion models.
· Hands-on experience with LangChain, vector stores, and cloud model APIs.
Leadership & Architecture Skills:
· Ability to lead full-cycle development from ideation to deployment.
· Design scalable GenAI solutions aligned with business value.
Soft Skills:
· Mentorship and team guidance in a rapidly evolving space.
· Strategic thinking with cross-functional communication.
Job Type: Full-time
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