← Back to Jobs

Remote

Technology

TR

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

Trebecon LLCUnited States🇺🇸United StatesPosted Oct 22, 2026

Quick Overview

Seniority

Mid Senior

Work mode

Remote

Location

United States

Posted

23 hours ago

DockerMongoDBOracleSQLGitC#.NETGitHub ActionsGoogle CloudLLMViteRESTReactJavaScriptSQL ServerCI/CDRAG

Job Description

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

Similar jobs