RAG Engineer

Join Swiggy to ship AI-first features. Strong with Lovable and Bolt.

As a RAG Engineer at Swiggy, you'll join a small, senior team building AI-native legal products from the ground up. You'll work daily with Claude, n8n, Replit to design, ship, and scale features that customers use every day. This is a high-ownership role — you'll have direct input on what we build and how we build it.

• Mentor junior builders and contribute to engineering standards
• Build retrieval, RAG, and agent pipelines that scale to thousands of concurrent users
• Architect end-to-end legal workflows that integrate LLMs (OpenAI, Anthropic, Gemini) with internal systems
• Optimise inference cost, latency, and reliability across services
• Collaborate with product, design, and customer teams to translate business problems into AI solutions
• Own the full lifecycle of features — from spec, prototype, A/B test, to rollout

• 2–4 years of experience as a RAG Engineer or in a closely related role
• Strong written communication — you can document decisions clearly
• Proficiency in Python, TypeScript, or both
• Strong hands-on experience with Claude / n8n / Replit in real production environments
• Bias for shipping — comfortable owning ambiguous problems end-to-end
• Experience with prompt engineering, evals, and prompt-versioning workflows
• Solid understanding of REST APIs, webhooks, queues, and event-driven design

• Comfort with Kubernetes, Terraform, or modern infra-as-code
• Built and operated agentic systems in production
• Experience with LangChain, LlamaIndex, or DSPy
• Familiarity with Cloudflare Workers / serverless edge runtimes

• Work on problems that genuinely move the needle in Legal
• Direct ownership — your code reaches real users within days, not quarters
• Learn from a team that has shipped at scale and built with Claude, n8n, Replit from day one
• Tiny team, big surface area — wear multiple hats and grow fast