Overview

• Build population-scale AI systems impacting millions • Work on cutting-edge agentic AI & multilingual models

Responsibilities

• Design and develop advanced multi-agent AI systems supporting diverse use cases such as buyer-seller interactions, search optimization, negotiation automation, and dispute management within a distributed commerce ecosystem.
• Lead the development lifecycle of Small Language Models (SLMs), including data curation, model training, fine-tuning, distillation, and performance optimization for real-world applications.
• Implement cost-efficient strategies such as quantization, low-rank adaptation, and efficient inference mechanisms to deploy models in latency-sensitive environments.
• Build and maintain production-grade systems ensuring high availability, reliability, and performance for both real-time and batch processing pipelines.
• Define standards for AI system monitoring, evaluation metrics, observability, and continuous improvement based on live system feedback.
• Drive responsible AI practices, including data governance, bias mitigation, safety evaluation, and compliance frameworks.
• Provide architectural leadership, mentoring team members while collaborating with cross-functional stakeholders across engineering, product, and policy domains.

Qualifications

• Exposure to responsible AI practices, safety frameworks, or policy-driven AI development environments is a strong plus.
• What's on Offer
• Opportunity to work on large-scale, high-impact AI systems that influence millions of users across a national digital infrastructure ecosystem.
• Exposure to cutting-edge developments in agentic AI, multilingual AI, and scalable machine learning systems applied to real-world commerce challenges.
• A high-ownership role with significant influence over architecture decisions, product direction, and long-term AI strategy across the organization.
• Collaborative and intellectually stimulating environment involving cross-functional teams spanning engineering, research, policy, and external ecosystem partners.
• Competitive compensation structure aligned with industry benchmarks and the opportunity to contribute to a mission-driven initiative transforming digital commerce.
• Access to advanced tools, frameworks, and infrastructure required to develop and deploy production-grade AI systems at scale.
• Opportunity to contribute to open frameworks and standards that extend beyond the organization, impacting the broader technology ecosystem.