We are seeking a Lead Fullstack Engineer to lead development of scalable, AI-enabled full stack solutions. This role is critical for designing and delivering microservices-based backends, modern frontends, and multi-agent AI systems that drive autonomous workflows and enterprise copilots.
You will work across C# /.NET and Python stacks, implement Azure cloud solutions, and guide cross-functional teams to build production-grade systems using containerization, event-driven architectures, and retrieval-augmented AI pipelines. This is an opportunity to shape architecture, mentor engineers, and deliver high-impact AI/ML products.
Responsibilities
Design and implement backend services using ASP.NET Core, Entity Framework, SignalR, and Minimal APIs.
Develop Python services and AI components with FastAPI, Django, Flask, Pandas, NumPy, and Scikit-learn.
Build and maintain microservices packaged with Docker and orchestrated via event-driven patterns using Azure Service Bus or RabbitMQ.
Design and implement multi-agent AI systems using LangChain, AutoGen, and CrewAI frameworks.
Build RAG pipelines with vector databases such as Pinecone or Weaviate and optimize prompt engineering and LLM fine-tuning.
Implement agent orchestration and inter-agent communication protocols for autonomous task execution.
Design and deploy enterprise AI copilots using Microsoft Copilot Foundry and integrate with Azure OpenAI Service.
Implement serverless and workflow solutions with Azure Functions and Azure Logic Apps.
Build CI/CD pipelines and infrastructure as code using Azure DevOps, ARM/Bicep, or Terraform.
Collaborate with data scientists, product managers, and stakeholders to translate business requirements into technical solutions.
Mentor junior developers, document architecture decisions, and promote scalable, maintainable designs.
Requirements
Proven experience as a technical lead or senior full stack engineer; typically 5+ years in software development and leadership.
Strong expertise in C# /.NET: ASP.NET Core, Entity Framework, SignalR, and Minimal APIs.
Strong experience in Python with FastAPI, Django, Flask, Pandas, NumPy, and Scikit-learn.
Experience designing microservices and containerizing applications with Docker.
Experience with event-driven architectures and message queues such as Azure Service Bus or RabbitMQ.
Hands-on experience building RAG pipelines and working with vector databases (Pinecone, Weaviate).
Practical experience with LLM integration and Azure OpenAI Service.
Experience with Azure services: Azure Functions, Azure Logic Apps, Azure Cognitive Services, and Azure DevOps.
Experience with CI/CD automation, YAML pipelines, and Infrastructure as Code using ARM/Bicep or Terraform.
Strong problem-solving, documentation, and communication skills; ability to translate complex AI concepts to business stakeholders.
Proven ability to mentor developers and work effectively in cross-functional teams.
Commitment to code quality, testing, and iterative MVP-driven delivery.
Nice to have
Experience designing enterprise-grade copilots with Microsoft Copilot Foundry.
Familiarity with agent orchestration frameworks and inter-agent coordination patterns.
Experience with Azure Data Factory for ETL/ELT pipelines.
Experience managing observability with Application Insights.
