Senior Fullstack Engineer

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Resilient Co.

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🤝 B2B

👥 HR Tech

☁️ SaaS

B2B • HR Tech • SaaS

Resilient Co. is a technology consulting and recruiting firm focused on supporting the growth of startups and organizations within the IT market. With a diverse and experienced team, the company offers a range of services including talent acquisition, coaching, and training tailored to the needs of tech clients. Operating with a 'Remote First' culture, Resilient Co. emphasizes collaboration and adaptability to navigate the challenges of the technology recruitment landscape, positioning itself as a strategic partner for businesses looking to build strong tech teams.

📋 Description

• 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.

🏖️ Benefits

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