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

Trebecon LLCUnited States🇺🇸United StatesPosted Oct 22, 2026

Quick Overview

Seniority

Mid Senior

Work mode

Remote

Location

United States

Posted

Yesterday

DockerMongoDBOracleSQLGitC#.NETASP.NETGitHub ActionsGoogle CloudViteRESTReactJavaScriptSQL ServerCI/CDRAG

Job Description

Role: Senior Full Stack AI Engineer (Vertex AI / .NET / React)
Location: 100% Remote

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.

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