Swiggy - Software Development Engineer III - LLM Models

Way of working - Work from office (5 days a week)

Software Development Engineer III

Bangalore

5 to 7 years

As an SDE III 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.

- B Tech/M Tech in Computer Science or equivalent from a reputed college with minimum 5+ 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

- 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.