Senior Full Stack AI Engineer (Vertex AI / .NET / React) -- 100% Remote --Only W2

Must-Have Skills

• 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 in creating and validating JSONL training datasets.
• Experience building multi-source training data pipelines using structured and unstructured data.
• Ability to troubleshoot model-tuning issues, including overfitting, underfitting, data imbalance, and model drift.
• Experience with vector embeddings, semantic search, and Retrieval-Augmented Generation (RAG) architectures.
• Strong C# and .NET development skills.
• Experience developing ASP.NET Core REST APIs.
• Hands-on experience with React and modern JavaScript frontends.
• Strong SQL skills and experience integrating Oracle and SQL Server databases.
• Experience with MongoDB Atlas and Vector Search.
• Google Cloud Platform (Google Cloud Platform) experience, including Vertex AI and Cloud Storage.
• Experience with Docker, CI/CD pipelines, GitHub Actions, and containerized deployments.
• Ability to troubleshoot cloud infrastructure, networking, deployment, and database connectivity issues.
• Proven ability to manage projects independently from design through production deployment.

Nice-to-Have Skills

• Experience with Gemini 2.5 Flash.
• Experience implementing lightweight classifier models for AI routing and orchestration.
• Familiarity with text-embedding-005.
• Knowledge of two-pass continuous fine-tuning methodologies.
• Experience with training data provenance tracking and audit trails.
• Experience implementing real-time AI response streaming using Server-Sent Events (SSE).
• Familiarity with Vite, PrimeReact, or similar frontend frameworks.
• Experience with model versioning, rollback strategies, and endpoint lifecycle management.
• Previous experience building AI-powered chat assistants or conversational applications.
• Experience optimizing AI latency, token consumption, and inference costs.