- Build and fine-tune generative models (LLMs, diffusion models, GANs, VAEs).
- Develop Retrieval-Augmented Generation (RAG) systems and multi-agent workflows.
- Implement prompt engineering strategies for optimized model outputs.
- Integrate GenAI capabilities into enterprise applications and user-facing tools.
- Collaborate with cross-functional teams (product, design, data science).
- Monitor and improve model performance, reliability, and ethical compliance.
- Stay updated with the latest GenAI research and tools.
To be responsible for managing technology in projects and providing technical guidance / solutions for work completion.
Key Responsibilities
1. To be responsible for providing technical guidance / solutions ;define, advocate, and implement best practices and coding standards for the team.
2.
To develop and guide the team members in enhancing their technical capabilities and increasing productivity
3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
4. To prepare and submit status reports for minimizing exposure and risks on the project or closure of escalations.