Role- Senior Gen AI & Agentic AI Engineer 

Location -Austin/ Southlake, TX

We are seeking a highly skilled Senior Gen AI & Agentic AI Engineer with strong C#/.NET experience to design, build, and deploy next-generation intelligent systems. In this role, you will bridge the gap between cutting-edge Google Cloud Platform (GCP) Artificial Intelligence and robust enterprise .NET applications. You will be responsible for orchestrating autonomous AI agents, implementing multi-agent workflows, and leveraging Large Language Models (LLMs) to solve complex business problems.

Key Responsibilities

AI & Agentic System Engineering

• Design and develop autonomous AI agents capable of multi-step reasoning, tool execution, and self-correction using GCP Gen AI tools.
• Implement multi-agent orchestration frameworks (e.g., AutoGen, LangGraph, or custom .NET orchestration layers) to manage complex, collaborative AI workflows.
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines utilizing vector databases and advanced semantic search techniques.
• Fine-tune and prompt engineer LLMs (such as Google Gemini) to maximize accuracy, reduce hallucination, and enforce safety guardrails.

Enterprise .NET Integration

• Develop robust backend services using C# and .NET 8+ to seamlessly integrate GCP AI services into enterprise applications.
• Utilize Semantic Kernel or LangChain4Net to manage AI prompts, native functions, and memory within the .NET ecosystem.
• Build highly scalable APIs (Web API / gRPC) to expose agentic AI capabilities to frontend systems and external services.

Cloud Architecture & DevOps

• Architect cloud-native solutions on GCP using Vertex AI, Agent Builder, Cloud Run, Cloud Functions, and BigQuery.
• Implement vector search infrastructure using Vertex AI Vector Search or databases like pgvector/Pinecone.
• Establish CI/CD pipelines for both .NET applications and AI artifacts, incorporating LLM evaluation and monitoring (LLMOps).

Required Technical Skills

Google Cloud Platform (GCP)

• Vertex AI: Vertex AI Studio, Model Garden, and Vertex AI Agent Builder.
• Models: Deep experience working with Google Gemini models.
• Data & Compute: Cloud Storage, BigQuery, Cloud Run, and Google Kubernetes Engine (GKE).

Development & Frameworks

• Language: Expert-level proficiency in C# and the modern .NET ecosystem (.NET 8+).
• AI Frameworks: Semantic Kernel (highly preferred), LangChain, or custom agentic framework development.
• Database: SQL Server, PostgreSQL, and specialized Vector Databases (Vertex AI Vector Search, Qdrant, Milvus, or Pinecone).

Generative AI Concepts

• Deep understanding of Agentic AI design patterns (ReAct, Planning, Tool Use, Reflection).
• Solid grasp of Embeddings, Tokenization, Context Window management, and Guardrailing.

Qualifications & Experience

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field (or equivalent practical experience).
• Experience:
  • 8+ years of professional backend software engineering experience with C#/.NET.
  • 2+ years of hands-on experience building and deploying Generative AI solutions in a production cloud environment.

Nice-to-Have Skills

• GCP Professional Cloud Architect or GCP Professional Data Engineer / AI Engineer certifications.
• Hand on Experience with Python (useful for cross-functional collaboration with data science teams).