Senior Fullstack Engineer

Role Overview

• Design and implement multi-agent AI systems using frameworks such as LangChain, AutoGen, and CrewAI.
• Build RAG (Retrieval-Augmented Generation) pipelines with vector databases like Pinecone or Weaviate.
• Implement agent orchestration patterns and inter-agent communication protocols for distributed AI workflows.
• Develop LLM fine-tuning workflows and optimize prompt engineering for production use.
• Design and deploy Microsoft Copilot Foundry solutions with custom knowledge bases and integration workflows.
• Develop backend services using C# /.NET (ASP.NET Core, Entity Framework, SignalR, Minimal APIs) and Python (FastAPI, Django, Flask).
• Implement microservices and containerized deployments using Docker and event-driven architectures with Azure Service Bus or RabbitMQ.
• Integrate Azure services including Azure Functions, Azure Logic Apps, Azure Cognitive Services, Azure OpenAI Service, and Azure Data Factory.
• Build and maintain CI/CD pipelines and infrastructure as code using Azure DevOps, ARM/Bicep, or Terraform.
• Mentor junior developers, document architecture decisions, and collaborate with product managers and data scientists.
• Balance technical debt with feature delivery while considering scalability, maintainability, code quality, testing, and documentation.
• Implement monitoring and observability using Application Insights.
• Apply Git workflow management and branching strategies in collaborative development environments.

Requirements

• Proven experience designing and implementing multi-agent AI systems and RAG pipelines using LangChain, AutoGen, or CrewAI.
• Hands-on experience with vector databases such as Pinecone or Weaviate.
• Experience with LLM fine-tuning and prompt engineering optimization.
• Experience developing AI-powered decision engines or autonomous task execution systems.
• JavaScript Frameworks: Proficiency in modern JavaScript frameworks (e.g., React, Angular, Vue.js) for developing responsive and dynamic frontend applications.
• Strong backend development experience with C# /.NET (ASP.NET Core, Entity Framework, SignalR, Minimal APIs).
• Basic knowledge of Python and familiarity with common backend or data/ML libraries such as FastAPI, Django, Flask, Pandas, NumPy, or Scikit-learn.
• Experience building microservices, containerizing with Docker, and implementing event-driven architectures (Azure Service Bus, RabbitMQ).
• Familiarity with Azure platform services: Azure Functions, Azure Logic Apps, Azure Cognitive Services, Azure OpenAI Service, and Azure Data Factory.
• Experience with Azure DevOps for CI/CD and YAML pipeline configuration.
• Experience with Infrastructure as Code using ARM templates, Bicep, or Terraform.
• Strong problem-solving approach, ability to translate AI concepts into business terms, and experience documenting architecture and trade-offs.
• Experience with monitoring and observability tools, especially Application Insights.
• Experience with Git workflow management and branching strategies.
• Ability to understand business requirements before jumping to technical solutions and advocate for MVP approaches with iterative improvement.
• Strong collaboration skills with data scientists, product managers, business stakeholders, and cross-functional teams.
• Commitment to code quality, testing, proper documentation, scalability, and maintainability.
• Interest in staying current with the rapidly evolving AI/ML landscape.

Tech Stack

• Angular
• ASP.NET
• Azure
• Django
• Docker
• Entity Framework
• Flask
• JavaScript
• Microservices
• Numpy
• Pandas
• Python
• RabbitMQ
• React
• Scikit-Learn
• Terraform
• Vue.js
• .NET

Benefits

• Equipment: Provided by the client.
• Engagement Length: 12+ months.
• Time Zone: 10:30
• 18:30 EST.
• Overtime Required: On-call.