Job Role: Staff Data Scientist

Grade: 9

Experience Required: 8–12 years

Location: Bangalore | Karnataka

About Swiggy and the Te

amSwiggy is India's leading on-demand delivery platform, leveraging data science and cutting-edge AI to redefine convenience for millions of customers. The AI team works at the intersection of machine learning, advanced architecture, and applied research to shape AI-first systems that directly impact customer experience and business growth. The team values cross-functional collaboration, open sharing of ideas, and innovation to roll out AI solutions at scal

e.Bring your expertise in building scalable AI systems and leading next-generation Generative AI and Agentic AI initiatives, and join a motivated team making a tangible business impac

t.
About the R

oleAs a Staff Data Scientist, you will lead the design and implementation of cutting-edge AI solutions, focusing on Large Language Models (LLMs), Generative AI applications, and Agentic AI platforms. This role demands expertise in AI-native products, hands-on experience with real-world GenAI deployment, and a clear understanding of trade-offs while building scalable solutions for production environmen

ts.
You will be a pivotal leader in designing and implementing the next generation of AI-first systems at Swiggy. You will act as both a hands-on data scientist and a strategic thinker—working with multi-agent systems, defining operational workflows, and ensuring the alignment of AI capabilities with Swiggy's business vision and customer needs. This role demands a unique blend of deep technical expertise in advanced AI concepts (especially Large Language Models, Generative AI, and Agentic AI) and strong systems thinking to build scalable, high-performance, and cost-effective AI solutions. You will be instrumental in shaping our AI strategy, driving innovation, and ensuring the successful delivery of impactful AI products that directly influence customer experience and business metrics. We foster an environment of open sharing of ideas and encourage contributions to both internal and external for

ums.

What qualities are we lookin

g for?Technical Expe

• rtise:Overall 8-12 years of experience in AI and Data science with 2–3 years of hands-on experience with Large Language Models (LLMs), Bots, and Co-Pilots, Generative AI applications, and Agentic AI architectures (e.g., multi-agent workflows, copilots, autonomous ag
• ents).Proven track record of building AI-first systems (e.g., conversational agents, copi
• lots).Strong system design skills with experience in designing scalable, low-latency AI-powered plat
• forms.Familiarity with orchestration tools/technologies like LangGraph, CrewAI, AutoGen, and distributed multi-agent system d
• esign.Deep understanding of the trade-offs between open-source vs proprietary AI models and related
• tools.Experience building or integrating components such as Ontology Layers, Graph Knowledge Bases, and feedback loops into AI sy

stems.Strategic Thi

• nking:Expertise in evaluating build-vs-buy options and supporting recommendations with logical explana
• tions.Ability to identify scalability, latency, and inference-cost bottlenecks and devise solu
• tions.Updated knowledge and insights on the latest tools, frameworks, and trends in AI and multi-agent ecosy

stems.Product Know

• ledge:Strong curiosity and empathy for end-user per
• sonas.Demonstrates end-to-end product thinking beyond model perfor
• mance.Ability to connect AI capabilities with business KPIs while ensuring ROI on AI invest
• ments.Experience working closely with Product Managers to identify workflows and bottlenecks, collaboratively defining roa

dmaps.Communication and Leade

• rship:Demonstrates the ability to act as a thought partner to product managers and stakeho
• lders.Exceptional written and verbal communication skills to align cross-functional teams on objectives, deliverables, and methodol
• ogies.Thrives in a fast-paced environment with a "Founder Mentality" t
• o moveEntrepreneurial stint or experience with startups building AI pr
• oductsR&D experience with language

models
What will you get to d

• o here?Build AI-first systems with a focus on multi-agent systems, LLMs, Generative AI, and Agentic AI wor
• kflows.Define and build scalable and efficient AI systems with low latency at production
• scale.Design orchestration mechanisms like Ontology Layers and incorporate feedback loops for enriching system capabi
• lities.Stay updated on emerging AI frameworks, tools, and technologies, applying learnings to both technological and business problem stat
• ements.Evaluate and benchmark open-source and proprietary AI frameworks based on cost, scalability, and suita
• bility.Collaborate with engineering, product, analysts and business stakeholders to define workflows, address bottlenecks, and create product ro
• admaps.Provide recommendations on AI investments with a critical eye on ROI and business
• impact.Present your work in internal and external forums, thought-leadership events, and research public

ations.
Why Join

• Swiggy?Opportunity to work on impactful and challenging projects in the AI
• domain.Chance to build innovative solutions at scale, directly impacting millions o
• f users.Collaborative work culture fostering learning, growth, and inn

ovation.
We believe in promoting equal opportunities and diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, or di

sability.
Ready to Shape the Future with AI?

Apply now!
Visit our tech blogs to learn more about some of the challenges we

• deal with:The Swiggy Delivery Challen
• ge Part OneHow AI at Swiggy is Transforming
• ConvenienceDecoding Food Intelligenc

e at Swiggy

*We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability status, or any other characteristic protecte