Qualifications

• 5-7 years of experience building GenAI applications across various use cases, including advanced techniques such as RAG and multi-agent systems.
• Strong expertise in deploying production-grade GenAI applications with proven evaluation and optimization skills.
• Solid background in data science with proficiency in tools like pandas, scikit-learn, and PyTorch.
• Experience with cloud platforms (AWS, Azure, GCP) for machine learning deployments.
• Graduate degree in a relevant quantitative field or equivalent practical experience.
• Ability to effectively communicate complex technical concepts to diverse audiences.
• A genuine interest in collaborating, continuous learning, and leveraging AI for business value.

Responsibilities

• Develop innovative GenAI solutions aligned with customer requirements using state-of-the-art techniques.
• Lead the rollout of consumer-facing and internal GenAI applications into production.
• Act as a key technical advisor for clients in various industries, enhancing their AI capabilities.
• Represent the company as a thought leader by presenting at major conferences.
• Work closely with product and engineering teams to inform decisions and future product developments.
• Forge cross-functional collaborations to enhance project outcomes and priorities.

Benefits

• Comprehensive health and wellness plans including medical, dental, and vision coverage.
• Flexible work arrangements to support work-life balance.
• Generous paid time off policy, including vacation and sick leave.
• Opportunities for professional development and continuing education.
• Participation in an annual performance bonus and equity programs.