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About the role
As an Advanced Software Engineer here at Honeywell, you will lead advanced software development projects, enhance and maintain critical software components, and troubleshoot complex issues. Your expertise will optimize software performance and drive innovation.You will report directly to our Manager and you’ll work out of our Bangalore, Karnataka location on a Hybrid work schedule.
We are looking for a highly skilled Full Stack Engineer with strong experience in C#/.NET , React , and Agentic AI programming . The ideal candidate will design, develop, and maintain intelligent applications that leverage autonomous AI agents capable of planning, reasoning, decision-making, and tool orchestration to solve complex tasks.
Strong proficiency in C#, .NET Core, ASP.NET Web API Solid experience with React and TypeScript Hands-on experience with Agentic AI systems Experience integrating LLMs via APIs (OpenAI, Azure OpenAI, etc.) Understanding of: AI orchestration Tool/function calling Memory management for agents
Experience with REST APIs and database design Knowledge of cloud-native application development Education & Experience Bachelor’s degree in Computer Science, AI, Engineering, or related field 3–6+ years of full stack development experience 1+ years of hands-on experience building AI or agent-based systems
Backend Development (C# .NET) Design and build scalable backend services using C#, ASP.NET Core, and Web APIs Develop secure, high-performance APIs to support AI-driven workflows Implement asynchronous processing, event-driven architectures, and microservices Manage relational and non-relational databases using Entity Framework / Dapper Ensure system reliability, observability, and performance optimization Frontend Development (React) Build modern, responsive user interfaces using React, TypeScript, HTML, and CSS Develop agent interaction dashboards, workflow visualizations, and real-time UI updates Integrate frontend components with AI-powered backend APIs Optimize UI for usability, accessibility, and performance Agentic AI Programming (Core Responsibility) Design and implement AI agents capable of: Autonomous decision-making and goal execution Task planning, decomposition, and reasoning Multi-step workflows and tool/function calling
Develop agent frameworks using LLMs (e.g., OpenAI, Azure OpenAI, or open-source models) Implement: Memory (short-term and long-term) Context management and state persistence Agent coordination and multi-agent systems
Integrate agents with external tools, APIs, databases, and enterprise systems Apply prompt engineering , guardrails, and evaluation strategies for agent reliability Handle AI failures, fallback logic, and safe execution boundaries Cloud, DevOps & Integration Deploy AI-powered services on Azure/AWS with scalability in mind Use CI/CD pipelines , Git, and automated testing Work with containerization tools such as Docker Monitor AI agent behavior, logs, and performance metrics
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
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