Senior Software Engineer (Agentic AI)

KIBO; Pune District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

KIBO is seeking a Senior Software Engineer for Agentic AI to design and implement LLM-powered and multi-agent systems that interact with APIs, databases, and event-driven architectures across the KIBO platform. Your primary goal is to turn LLMs into reliable, scalable, and safe production systems that augment commerce operations.

You will build production-grade AI systems where agents help operators automate workflows and unlock new capabilities, collaborating with global teams in a

Qualifications

• Experience designing AI-driven agents with multi-step reasoning.
• Experience building scalable .NET microservices and React frontends.
• Experience implementing guardrails and evaluation frameworks for AI.

Responsibilities

• Design and build agentic AI capabilities for the KIBO platform, including multi-step reasoning, tool calling, memory, and state management.
• Implement guardrails, evaluation frameworks, and observability for safe and reliable agent behavior.
• Develop scalable multi-tenant .NET microservices and React frontends that integrate AI-driven capabilities.
• Own testing of deterministic code and non-deterministic agent behavior using automated evaluation pipelines.
• Partner with multi-functional teams to define agent behavior, success metrics, and continuous improvement loops.
• Leverage modern AI tools and engineering practices across the SDLC to ensure high-quality implementation.

Skills

Agentic AI design

Guardrails implementation

.NET microservices

React frontend

Automated testing

Cross-functional collaboration

AI tools

Tools

.NET

React

AI tools & frameworks

Observability tooling

Job description

ABOUT THIS ROLE

As a Senior Software Engineer for Agentic AI at KIBO, you will design and implement LLM-powered and multi-agent systems that interact with APIs, databases, and event-driven architectures across the KIBO platform. Your primary goal is to turn LLMs into reliable, scalable, and safe production systems that augment commerce operations. You will be responsible for building production-grade AI systems where agents help operators make decisions and automate workflows to unlock entirely new capabilities.

ABOUT KIBO

KIBO is a composable digital commerce platform for B2C, D2C, and B2B organizations who want to simplify the complexity in their businesses and deliver modern customer experiences. KIBO is the only modular, modern commerce platform that supports experiences spanning B2B and B2C Commerce, Order Management, and Subscriptions. Companies like Ace Hardware, Zwilling, Jelly Belly, Nivel, and Honey Birdette trust KIBO to bring simplicity and sophistication to commerce operations and deliver experiences that drive value.

KIBO's cutting-edge solution is MACH Alliance Certified and has been recognized by Forrester, Gartner, IDC, Internet Retailer, and TrustRadius. KIBO has been named a leader in The Forrester Wave™: Order Management Systems, Q1 2025 and in the IDC MarketScape report “Worldwide Enterprise Headless Digital Commerce Applications 2024 Vendor Assessment”.

By joining KIBO, you will be part of a team of Kibonauts all over the world in a remote-friendly environment. Whether your job is to build, sell, or support KIBO's commerce solutions, we tackle challenges together with the approach of trust, growth mindset, and customer obsession. If you’re seeking a unique challenge with amazing growth potential, then come work with us!

WHAT YOU’LL DO

• Design and build agentic AI capabilities for the KIBO platform, including multi-step reasoning, tool calling, memory, and state management.
• Implement guardrails, evaluation frameworks, and observability to ensure safe and reliable agent behavior.
• Develop scalable multi-tenant .NET microservices and React frontends that integrate AI-driven capabilities.
• Own the testing of deterministic code and non-deterministic agent behavior using automated evaluation pipelines.
• Partner with multi-functional teams to define agent behavior, success metrics, and continuous improvement loops.
• Leverage modern AI tools and proven engineering practices across the SDLC to ensure high-quality implementation.