AI Engineer (Vertex AI/.Net/React) -- W2 Profiles -- 100% Remote

Title: Senior Full Stack AI Engineer (Vertex AI/ .NET/ React)

Location: 100% Remote


Must Haves:

• 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  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 Google Cloud Platform 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

 

Pluses:

• Experience with Gemini 2.5 Flash specifically

• Experience implementing lightweight classifier models for AI routing and orchestration

• Experience with text-embedding-005

• Familiarity with two-pass continuous fine-tuning methodologies

• Experience with training data provenance tracking and audit trail implementation

• Experience with real-time AI response streaming using Server-Sent Events (SSE)

• Experience with Vite, PrimeReact, or similar frontend frameworks

• Experience implementing model versioning, rollback strategies, and endpoint lifecycle management

• Prior experience building AI-powered chat assistants or conversational applications

• Experience optimizing AI latency, token consumption, and inference costs

 

Day-to-day:

• 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

• Monitor Vertex AI jobs, model endpoints, and cloud infrastructure

• Troubleshoot production issues across application, cloud, network, and database layers

• Collaborate with stakeholders to deliver new AI features and continuously improve platform performance

• Drive solutions from design and development through testing, deployment, and production support