Software Dev Engineer I

Job Description

As an SDE I at Swiggy, you will play a pivotal role in designing and architecting intelligent systems with a strong emphasis on Agentic AI and multi-agent frameworks. You will contribute to the development of cutting-edge Conversational AI platforms using technologies like Langchain, Langraph, and LLMs from providers such as OpenAI, Anthropic (Claude), Bedrock, Azure, and others. Your responsibilities include owning end-to-end architecture for your team s systems, co-driving the team s technical vision, and transforming product requirements into scalable, production-grade AI solutions. Collaboration with cross-functional product and business teams will be essential to translate product features into intelligent, agent-driven designs and drive the delivery of high-impact applications. What qualities are we looking for? B Tech/M Tech in Computer Science or equivalent from a reputed college with minimum 1 - 3 years of Experience in Product Development Company Experience working with AI agents , including multi-agent architectures . Familiarity with agentic AI systems and conversational AI platforms. Practical knowledge of LLMs (Large Language Models) , including integration with providers like OpenAI , Anthropic (Claude) , Bedrock , Falsh , and Azure OpenAI . Strong design skills involving data modeling and low level class design Good knowledge of object oriented programming and design pa erns Proficiency in at least one programming language - Python, Java, Golang Follow industry coding standards and responsible for writing maintainable/scalable/efficient code to solve business problems Hands-on experience of working with Databases and Linux/Unix platform Hands-on experience with Langchain or LangGraph for building AI-driven workflows and orchestration. Strong technical aptitude and good knowledge of CS fundamentals What will you get to do here? Coming up with best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team. Driving the adoption of best practices & regular Participation in code reviews, design reviews, architecture discussions. Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create Implementation of long term technology vision for your team. Creating architectures & designs for new solutions around existing/new areas Decide technology & tool choices for your team & be responsible for them.