Save Job Back to Search Job Description Summary Similar JobsBuild population-scale AI systems impacting millionsWork on cutting-edge agentic AI & multilingual modelsAbout Our ClientOur client is a pioneering organization working at the intersection of digital infrastructure and commerce transformation in India. It operates a large-scale interoperable network designed to democratize access to digital commerce for businesses of all sizes. By enabling open participation across domains such as retail, logistics, financial services, and more, the organization is reshaping how buyers and sellers interact in a digital-first economy.With a strong focus on innovation, the organization is making significant investments in applied artificial intelligence to improve various aspects of the ecosystem. These include enhancing search and discovery, enabling intelligent automation, optimizing transaction flows, and building trust through robust fraud detection and dispute resolution systems. The work environment promotes ownership, collaboration, and thought leadership, with opportunities to influence ecosystem-wide standards and open frameworks.Job DescriptionDesign 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.Architect and deploy retrieval-augmented generation systems leveraging structured and unstructured data sources, including multilingual datasets and complex transaction pipelines.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.Establish a robust MLOps ecosystem, including model versioning, experiment tracking, CI/CD pipelines, and scalable model serving infrastructure across cloud and edge 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.The Successful ApplicantDemonstrates 7-10 years of experience in software engineering or machine learning, with a strong track record of deploying scalable AI or ML solutions in production environments.Possesses deep expertise in transformer architectures, model training frameworks, and distributed training methodologies across platforms such as PyTorch or similar ecosystems.Strong understanding of modern AI system design, particularly in areas such as agent-based frameworks, retrieval-augmented generation, and intelligent workflow orchestration.Hands-on experience with deployment architectures involving containers, orchestration tools such as Kubernetes, and cloud platforms including AWS, GCP, or Azure.Proven experience in building and managing scalable MLOps systems, including model lifecycle management, feature engineering pipelines, and monitoring frameworks.Demonstrates excellent problem-solving capabilities with the ability to optimise system performance across dimensions such as latency, scalability, and cost efficiency.Strong communication skills with the ability to influence stakeholders, drive alignment, and create high-quality technical documentation such as architectural design proposals.Experience in multilingual processing, domain-specific AI adaptation, or low-resource language modelling is considered advantageous.Exposure to responsible AI practices, safety frameworks, or policy-driven AI development environments is a strong plus.What's on OfferOpportunity 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.Quote job refJN-052026-7019817Job summaryFunctionAnalyticsSub SectorBig DataWhat is your area of specialisation?Technology & TelecomsLocationDelhiJob TypePermanentJob ReferenceJN-052026-7019817
