• Innovation: Stay ahead of emerging trends in AI and GenAI to continuously elevate our technical capabilities.
• Publish: We encourage collaborations with universities, and inter-disciplinary research to ensure our work is open-access, and for our research to remain at the forefront of innovation.
• Mentorship: Guide and support junior researchers and engineers to foster technical growth within the team.
• GenAI Development: Support engineering teams for building a platform for enterprise GenAI solutions leveraging large language models (LLMs) and state-of-the-art frameworks.
• Cloud Development: Design and implement robust, cloud-native solutions, preferably on Azure.
• Model Optimization: Fine-tune LLMs, enhance data retrieval from structured/unstructured sources, and optimize prompt engineering and agent plans.
• Collaboration: Work closely with cross-functional teams, including domain experts and product managers, to deliver solutions aligned with business needs.
• Competitive Compensation: Tailored to your experience and skill set.
• Flexible Work Arrangements: Hybrid working model for work-life balance.
• Career Growth: Opportunities for professional development and leadership roles.
• Innovative Culture: Work on transformative technologies and make an impact in the AI space.