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TechniPros, LLC

Gen AI Engineer - Austin, TX, Houston, TX, San Antonio, TX, Dallas, TX.

Pay: Not specified

Posted: 4 weeks ago

Location: Manor, TX (Onsite)

Last Updated: 5 days ago

Hours: Full-Time

Expires: 10/10/2026

Career Insights for Generative Artificial Intelligence Engineer

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What they do

A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.

$132,765 / year median in Texas

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Job Description

Job Title:

Generative AI Engineer Location:

Austin, TX, Houston, TX, San Antonio, TX, Dallas, TX.

Contract:

12+ Months Looking for W2 candidates. No C2

C Job Summary:

We are seeking a Senior Generative AI Platform Engineer to build scalable enterprise AI platforms leveraging modern LLMs, AI orchestration frameworks, cloud-native technologies, and Model Context Protocol (MCP). The ideal candidate should have strong experience building production-grade GenAI applications and AI developer platforms.

Key Responsibilities:

Design enterprise-grade Generative AI platforms. Build AI applications using OpenAI, Claude, Gemini, and Llama models. Develop AI workflows using LangGraph, LangChain, and LlamaIndex. Implement Model Context Protocol (MCP) integrations. Build scalable RAG pipelines using vector databases. Develop REST APIs and FastAPI services. Deploy AI workloads on Azure AI Foundry or Amazon Bedrock. Implement AI monitoring, logging, and observability. Collaborate with platform engineering and DevOps teams. Follow Responsible AI and AI Governance standards.

Required Skills:

Python Generative AI LLMs LangGraph LangChain LlamaIndex MCP (Model Context Protocol) Prompt Engineering RAG Fast