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LLM Infrastructure Engineer

Job in Houston, Harris County, Texas, 77246, USA
Listing for: AMSYS Innovative Solutions
Full Time position
Listed on 2026-03-15
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance APIs for model inference, optimizing GPU workloads, and deploying AI services in cloud environments.

This is an engineering-focused role, not research. We are looking for someone who has built and shipped AI systems into production and understands the challenges of scalable inference and model serving.

Key Responsibilities
  • Develop high-performance APIs using Python (3.10+) and FastAPI
  • Build and deploy LLM inference services using Hugging Face Transformers and Py Torch
  • Optimize GPU workloads and CUDA memory usage
  • Implement streaming inference APIs for real-time model responses
  • Containerize and deploy services using Docker and GPU-enabled infrastructure
  • Deploy AI workloads in Azure environments (AKS, ACI, or Container Apps)
Required Skills
  • Hands-on experience building production APIs with FastAPI
  • Experience with Hugging Face Transformers and Py Torch
  • Solid understanding of REST API design
  • Experience deploying containerized applications with Docker
Nice to Have
  • Experience with OpenAI-compatible APIs, vLLM, or Text Generation Inference (TGI)
  • Experience deploying AI workloads on Azure GPU infrastructure
  • Familiarity with LoRA / PEFT fine-tuning
  • Exposure to legal or financial NLP use cases
Ideal Candidate

A hands-on engineer who understands how LLM systems run in production—from model loading and tokenization to GPU deployment and scalable APIs.

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