Software Development Engineer II

About Swiggy and the Role

Swiggy operates India's largest on-demand platform for food, groceries, and dining, blending AI technologies with large-scale physical operations. The company predicts demand for over 5,000 dark stores, optimizes millions of daily deliveries, and builds real-time agent systems that handle operational constraints.

The Software Development Engineer II works as a Forward Deployed AI Engineer, embedded with various teams across Swiggy to tackle their most challenging problems by applying AI. This role involves being part of small, agile pods reporting to the Central AI team and working closely with supply chain, category operations, marketplace, customer support, and other departments. The engineer acts as the AI Chief Technology Officer for the business domain they support.

Key Responsibilities

• Investigate critical drops in availability and develop predictive systems to preempt issues.
• Create automated agents to reduce operational tasks, such as onboarding catalog items, significantly cutting down time from days to minutes.
• Improve AI bots like the Dineout discovery bot to enable self-learning from errors.
• Develop common AI infrastructure to prevent redundant rebuilding across teams.
• Design prediction agents focusing on availability, inventory, and demand forecasting.
• Construct MCP servers that link AI with operational systems.
• Develop evaluation frameworks to measure AI impact in live production environments.
• Build self-improving agents that learn continuously through operational feedback loops.
• Create reusable libraries of skills and subagents for deployment by various teams.
• Spend approximately 60% of time embedded within business units (Instamart, Food, Dineout, Customer Support) and 40% focused on central AI initiatives including roadmap and platform development.
• Engage in rotations of around three months in different domains, participating in daily standups, mapping workflows, and identifying critical challenges.
• Deliver production-ready, scalable AI systems handling genuine traffic and issues; transform working implementations into standardized playbooks for broad use.
• Feed learnings back to Central AI teams to influence future platform enhancements.

Skills and Qualifications

• Demonstrated experience building and deploying AI agent systems in production environments, not just prototypes or demos.
• Expertise in advanced context engineering, evaluation frameworks, and agent orchestration patterns.
• Experience with skill sets including subagents, tool integration, and parallel workflow orchestration.
• Understanding of scaling AI solutions balancing latency, accuracy, cost, and reliability under real constraints.
• Strong proficiency in Python or TypeScript and familiarity with large language models (LLMs) and orchestration frameworks.
• Ability to translate complex AI concepts to non-technical operations teams and effectively lead discovery sessions and architectural discussions.
• Track record of delivering AI solutions that significantly impact business metrics, supported with tangible proof such as code repositories or deployment demonstrations.
• Minimum of two years' experience shipping AI systems at scale with real users and constraints; exceptional freshers with strong AI project experience may be considered.
• Startup experience as a technical founder or early engineer with notable AI contributions is a plus.
• Capability to write clear, actionable documentation and adapt quickly to changing demands and environments.

What You Will Gain

• Engagement with impactful, large-scale problems affecting millions of orders and thousands of operational sites, including direct revenue impact.
• Close collaboration with business teams, allowing rapid problem identification and solution deployment without bureaucratic delays.
• Opportunity to shape central AI platform strategy based on field experiences.
• Significant ownership resembling a CTO role for the AI capabilities in your embedded domain.
• Strong career growth potential toward technical leadership by combining AI expertise with operational insights.

Diversity and Equal Opportunity

Swiggy values diversity and is committed to equal opportunity employment without discrimination based on race, color, religion, sex, disability, or any legally protected status.