Agentic AI Full Stack Technical Lead

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Agentic AI Full Stack Technical Lead (.NET & React)

Job Summary

We are seeking an experienced Agentic AI Full Stack Technical Lead to lead the design, development, and deployment of next-generation AI-powered enterprise applications. The ideal candidate will have strong expertise in Agentic AI frameworks, .NET technologies, ReactJS, and modern cloud-native architectures.

This role will be responsible for building intelligent agent-based applications that leverage LLMs, workflow orchestration, enterprise integrations, and human-in-the-loop processes. The candidate will lead a team of developers, collaborate with business stakeholders, and drive technical decisions across frontend, backend, AI, and cloud platforms.

Experience Required

10-15 Years

Key Responsibilities

Agentic AI Solution Development

• Design and develop Agentic AI applications capable of autonomous decision-making and task execution.
• Build AI agents using modern GenAI and Agentic AI frameworks.
• Implement multi-agent workflows, orchestration patterns, and tool integrations.
• Integrate Large Language Models (LLMs) into enterprise applications.
• Develop Retrieval-Augmented Generation (RAG) solutions and AI-driven workflows.
  
  

Full Stack Development

• Design and develop scalable enterprise applications using .NET and ReactJS.
• Build secure RESTful APIs and backend services.
• Develop responsive and high-performance frontend applications using React.
• Implement reusable UI components and modern frontend architecture.
  
  

Architecture & Leadership

• Define application architecture, coding standards, and development best practices.
• Lead technical design reviews and architecture discussions.
• Mentor developers and conduct code reviews.
• Collaborate with solution architects, product owners, and business stakeholders.
  
  

AI Integration & Automation

• Integrate AI agents with enterprise systems, APIs, databases, and business workflows.
• Implement workflow automation and AI-driven decision support systems.
• Enable human-in-the-loop approval mechanisms where required.
• Optimize AI model performance, accuracy, and scalability.
  
  

DevOps & Cloud

• Support CI/CD implementation and deployment automation.
• Work with cloud platforms such as Azure, AWS, or Google Cloud Platform.
• Deploy and manage AI-powered applications in cloud environments.
• Ensure observability, monitoring, and operational excellence.
  
  

Mandatory Skills

Agentic AI & Generative AI

• Agentic AI
• Large Language Models (LLMs)
• AI Agents
• Multi-Agent Systems
• RAG (Retrieval-Augmented Generation)
• Prompt Engineering
• AI Workflow Orchestration
  
  

Backend Development

• C#
• .NET Core / .NET 6
• ASP.NET Core
• REST APIs
• Microservices Architecture
  
  

Frontend Development

• ReactJS
• TypeScript
• JavaScript
• HTML5
• CSS3
  
  

Database

• SQL Server
• PostgreSQL
• NoSQL Databases (Preferred)
  
  

Cloud & DevOps

• Azure / AWS / Google Cloud Platform
• Docker
• Kubernetes
• CI/CD Pipelines
• GitHub Actions / Azure DevOps
  
  

Preferred Skills

• LangChain
• LangGraph
• Semantic Kernel
• AutoGen
• CrewAI
• Vector Databases (Pinecone, Weaviate, ChromaDB)
• Azure OpenAI
• OpenAI APIs
• AI Governance & Responsible AI
• Event-Driven Architecture
  
  

Required Qualifications

• 10 years of software development experience.
• Strong hands-on expertise in .NET and ReactJS.
• Experience building AI-powered applications.
• Experience designing scalable enterprise architectures.
• Strong understanding of Agentic AI concepts and frameworks.
• Experience leading technical teams and mentoring developers.
• Excellent communication and stakeholder management skills.