Sr. Fullstack Engineer

Summary

We are seeking a senior Full Stack Engineer to design and build agentic AI systems and scalable cloud-native applications. This role combines hands-on backend and frontend development with advanced AI/ML engineering to deliver autonomous workflows, retrieval-augmented generation, and enterprise-grade copilots on Azure.

You will work across multi-agent architectures, RAG pipelines, LLM fine-tuning, and microservice platforms to turn ambiguous problems into production solutions. This is an opportunity to influence architecture, mentor engineers, and deliver high-impact AI-driven features.

Responsibilities

• Design and implement multi-agent AI systems using frameworks like LangChain, AutoGen, and CrewAI.
• Build RAG pipelines with vector databases such as Pinecone and Weaviate.
• Implement agent orchestration patterns and inter-agent communication protocols for distributed AI workflows.
• Fine-tune LLMs and optimize prompt engineering for production use cases.
• Develop AI-powered decision engines and autonomous task execution systems.
• Design and deploy enterprise copilots using Microsoft Copilot Foundry with custom knowledge bases.
• Implement backend services using C# /.NET (ASP.NET Core, Entity Framework, SignalR, Minimal APIs) and Python (FastAPI, Django, Flask).
• Architect microservices with Docker containerization and event-driven patterns using Azure Service Bus or RabbitMQ.
• Integrate Azure services including Azure Functions, Azure Logic Apps, Azure Cognitive Services, Azure OpenAI Service, and Azure Data Factory.
• Create CI/CD pipelines and infrastructure as code with Azure DevOps, ARM/Bicep, and maintain observability with Application Insights.
• Collaborate with data scientists, product managers, and stakeholders; document architecture decisions and mentor junior developers.

Requirements

• 5+ years of professional software engineering experience with full stack responsibilities.
• Proven experience designing and implementing multi-agent AI systems and RAG pipelines.
• Hands-on experience with LangChain, AutoGen, or CrewAI and vector DBs (Pinecone, Weaviate).
• Experience with LLM fine-tuning and prompt engineering optimization
• Strong backend development experience with C# /.NET (ASP.NET Core, Entity Framework, SignalR, Minimal APIs) and Python (FastAPI, Django, Flask)
• Experience building microservices and containerized applications using Docker
• Experience with event-driven architectures using Azure Service Bus or RabbitMQ
• Experience integrating and deploying solutions on Azure, including Azure Functions, Logic Apps, Azure Cognitive Services, Azure OpenAI Service, Azure Data Factory, and Azure DevOps
• Experience authoring CI/CD pipelines (YAML) and Infrastructure as Code using ARM templates or Bicep
• Strong problem-solving, documentation, and communication skills; ability to translate complex AI concepts to business terms
• Demonstrated ability to mentor junior developers and work effectively in cross-functional teams

Nice to Have

• Experience with Terraform for multi-cloud infrastructure provisioning
• Experience working with monitoring and observability tools such as Application Insights
• Prior exposure to agent orchestration frameworks and inter-agent coordination mechanisms