Advanced Software Engr

Posted 2 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Aerospace
The Role
Design and implement full-stack AI applications: build scalable C#/.NET backends, React/TypeScript frontends, and agentic AI systems using LLMs. Implement agent planning, memory, tool integration, cloud deployment, CI/CD, and monitoring to ensure reliable, secure AI-driven workflows.
Summary Generated by Built In

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.

Responsibilities

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
 
Qualifications
  • 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
About UsHoneywell 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.

Skills Required

  • Proficiency in C#, .NET Core, ASP.NET Web API
  • Experience with React and TypeScript
  • Hands-on experience building Agentic AI systems
  • Experience integrating LLMs (OpenAI, Azure OpenAI, or open-source) via APIs
  • Experience with Entity Framework or Dapper and database design (relational and NoSQL)
  • Knowledge of AI orchestration, tool/function calling, memory and context management
  • Experience deploying cloud-native services on Azure or AWS
  • Experience with CI/CD pipelines, Git, Docker, and automated testing
  • Experience with observability, logging, and performance optimization
  • 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
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The Company
Mississauga, Ontario
10,000 Employees
Year Founded: 1914

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