Jobs → Engineering → Full Stack Engineer (.NET/C#)

About the Role We are seeking a Full Stack Engineer with expertise in .NET/C# and heavy AI to join our team. This role involves building and deploying fine-tuned LLMs in production environments and developing modern web applications. Key Responsibilities • Design and execute LLM fine-tuning workflows within Vertex AI • Build and maintain training data pipelines leveraging business rules, SQL schemas, SOPs, and expert-curated datasets • Monitor model performance, identify drift, and initiate retraining efforts as needed • Analyze training metrics, loss curves, and tuning outcomes to improve model quality • Build and enhance vector search and semantic retrieval capabilities • Develop and maintain .NET APIs supporting AI-powered applications • Build AI chat experiences and supporting React-based user interfaces • Implement streaming AI responses and session-aware conversational workflows • Integrate Oracle, SQL Server, and MongoDB data sources into AI pipelines • Manage deployments and CI/CD workflows through GitHub Actions and Docker • Drive solutions from design and development through testing, deployment, and production support Requirements • Proven experience building and deploying fine-tuned LLMs in production environments • Hands-on experience with Google Vertex AI and Gemini models • Experience performing supervised fine-tuning (SFT) using LoRA adapters • Strong expertise creating and validating JSONL training datasets • Experience building multi-source training data pipelines from structured and unstructured data • Ability to diagnose and resolve model tuning issues including overfitting, underfitting, data imbalance, and model drift • Experience with vector embeddings, semantic search, and RAG architectures • Strong C# and .NET development experience • Experience building ASP.NET Core REST APIs • Experience developing React applications and modern JavaScript frontends • Strong SQL skills and experience integrating Oracle and SQL Server data sources • Experience with MongoDB Atlas and Vector Search • Cloud experience within GCP including Vertex AI, Cloud Storage, and related services • Experience with Docker, CI/CD pipelines, GitHub Actions, and containerized deployments • Ability to independently troubleshoot cloud, networking, deployment, and database connectivity issues • Comfortable owning projects end-to-end from design through deployment