Senior Fullstack Engineer

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Design and develop multi-agent AI systems utilizing frameworks such as LangChain, AutoGen, and CrewAI.

• Construct RAG (Retrieval-Augmented Generation) pipelines with vector databases like Pinecone or Weaviate.

• Execute agent orchestration patterns and facilitate inter-agent communication protocols for distributed AI operations.

• Create LLM fine-tuning workflows and enhance prompt engineering for production readiness.

• Design and implement Microsoft Copilot Foundry solutions incorporating custom knowledge bases and integration workflows.

• Build backend services using C# /.NET (ASP.NET Core, Entity Framework, SignalR, Minimal APIs) and Python (FastAPI, Django, Flask).

• Develop microservices and containerized deployments utilizing 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.

• Establish and manage CI/CD pipelines and infrastructure as code using Azure DevOps, ARM/Bicep, or Terraform.

• Mentor junior developers, document architectural 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 features using Application Insights.

• Utilize Git workflow management and branching strategies in collaborative development settings.

⛳️ Requirements

• Demonstrated experience in designing and implementing multi-agent AI systems and RAG pipelines using LangChain, AutoGen, or CrewAI.

• Practical experience with vector databases, such as Pinecone or Weaviate.

• Expertise in LLM fine-tuning and optimizing prompt engineering.

• Background in developing AI-driven decision engines or autonomous task execution systems.

• Proficient in modern JavaScript frameworks (e.g., React, Angular, Vue.js) for creating responsive and dynamic frontend applications.

• Strong backend development expertise in C# /.NET (ASP.NET Core, Entity Framework, SignalR, Minimal APIs).

• Basic knowledge of Python and familiarity with popular backend or data/ML libraries such as FastAPI, Django, Flask, Pandas, NumPy, or Scikit-learn.

• Experience in building microservices, containerizing applications with Docker, and implementing event-driven architectures (Azure Service Bus, RabbitMQ).

• Knowledge of Azure platform services: Azure Functions, Azure Logic Apps, Azure Cognitive Services, Azure OpenAI Service, and Azure Data Factory.

• Proficient in Azure DevOps for CI/CD and YAML pipeline configuration.

• Familiarity with Infrastructure as Code using ARM templates, Bicep, or Terraform.

• Strong problem-solving skills, ability to translate AI concepts into business language, and experience documenting architecture and trade-offs.

• Background in monitoring and observability tools, particularly Application Insights.

• Proficient in Git workflow management and branching strategies.

• Ability to comprehend business requirements prior to proposing technical solutions and advocate for MVP approaches with iterative improvements.

• Excellent collaboration skills with data scientists, product managers, business stakeholders, and cross-functional teams.

• Commitment to maintaining code quality, testing, thorough documentation, scalability, and maintainability.

• Interest in remaining updated with the fast-evolving AI/ML landscape.

🏝️ Benefits

• Equipment: Provided by the client.

• Engagement Length: 12+ months.

• Time Zone: 10:30 - 18:30 EST.

• Overtime Required: On-call.