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Fastapi Jobs in Houston, TX (NOW HIRING)

AMSYS Talent

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

Develop high-performance APIs using Python (3.10+) and FastAPI * Build and deploy LLM inference services using HuggingFace Transformers and PyTorch * Optimize GPU workloads and CUDA memory usage

Patterson-UTI

Mobile Full Stack Developer

Houston, TX · On-site

Design, develop, and maintain RESTful APIs and backend services using Python and FastAPI. * Design and implement responsive user interfaces that meet the needs of a varied audience, from field ...

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

Write production-quality Python code for data processing, feature engineering, API development (FastAPI/Flask), and ETL/ELT workflows * Lead A/B experiments and product analytics to measure AI ...

AMSYS Talent

Sr Gen AI Engineer

Houston, TX · On-site

$99K - $137K/yr

API frameworks (FastAPI or similar) * Docker + Kubernetes (AKS preferred) * Azure or similar cloud experience * Strong system design and production deployment experience Nice to Have * Azure AI ...

Kanak Elite Services Inc

Sr. Python Developer

Houston, TX · On-site

$116K - $156K/yr

Developed and maintained APIs using FastAPI and/or GraphQL Responsibilities include: * Design software modules that encapsulate data access and business logic, adhering to OOP best practices * Build ...

ComboCurve, Inc.

Senior Data Engineer, Python

Houston, TX · On-site +1

$109K - $131K/yr

Build, deploy, and maintain high-performance asynchronous microservices and prototypes using FastAPI or Flask to serve complex optimization and scheduling model predictions. * Use Postman for testing ...

VBeyond

AWS, Python and SQL Lead Developer

Houston, TX · On-site

$133K - $164K/yr

API development experience using Flask, FastAPI, or AWS API Gateway * Knowledge of data modeling, data warehousing, and data governance frameworks * Understanding of Agile/Scrum methodologies * AWS ...

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How much do fastapi jobs pay per year?

As of Jul 7, 2026, the average yearly pay for fastapi in Houston, TX is $130,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,059.00 and $135,689.00 per year, depending on experience, location, and employer.

Do any big companies use FastAPI?

Several large companies and organizations use FastAPI for building high-performance APIs due to its speed and ease of use with Python. Notable examples include Microsoft, Netflix, and Uber, which leverage FastAPI in various projects to improve scalability and developer productivity.

What is a FastAPI worker?

A FastAPI worker is a process that runs an instance of a FastAPI application, handling incoming HTTP requests in a production environment. It is typically managed by an ASGI server like Uvicorn or Gunicorn, which can spawn multiple workers to improve concurrency and performance. Understanding how to configure and scale FastAPI workers is important for deploying high-performance APIs.

Is Netflix using FastAPI?

There is no publicly available information confirming that Netflix uses FastAPI in its technology stack. Netflix primarily relies on Java, Python, and other frameworks for its backend services. FastAPI is a popular Python web framework known for its speed and ease of use, but its adoption by specific companies like Netflix is not publicly documented.

What are the key skills and qualifications needed to thrive in the Fastapi position, and why are they important?

To thrive as a FastAPI Developer, you need strong proficiency in Python, REST API design, and knowledge of web frameworks, ideally supported by a relevant degree or industry certifications. Familiarity with tools like Docker, Git, asynchronous programming, and testing frameworks such as Pytest is often required. Excellent problem-solving skills, adaptability, and clear communication are valuable soft skills in this role. These competencies ensure robust API development, seamless collaboration, and the delivery of high-quality software solutions in agile environments.

What are the typical daily responsibilities of a FastAPI Developer?

As a FastAPI Developer, your daily tasks typically include designing and implementing RESTful APIs, writing efficient and maintainable code, and performing thorough testing to ensure reliability and performance. You may also collaborate closely with frontend developers, DevOps engineers, and QA teams to integrate new features and troubleshoot issues. Regular code reviews, documentation, and participation in agile development meetings are common parts of the workday. This collaborative and dynamic environment allows you to make a direct impact on the product while growing your skills through hands-on problem-solving and teamwork.

What is a FastAPI job?

A FastAPI job typically involves developing, maintaining, and optimizing web applications and APIs using the FastAPI framework. FastAPI is a modern, high-performance web framework for Python that is designed for building APIs quickly with automatic OpenAPI generation. Professionals in this role are expected to have experience with Python, asynchronous programming, and API development, often working with databases, authentication, and cloud services.

Is FastAPI in demand?

FastAPI is a popular web framework for building APIs with Python, and demand for developers skilled in FastAPI is growing due to its efficiency and ease of use. Companies adopting modern, high-performance backend solutions often seek developers familiar with FastAPI, especially those with knowledge of asynchronous programming and related tools like Python and Docker.
What are the most commonly searched types of Fastapi jobs in Houston, TX? The most popular types of Fastapi jobs in Houston, TX are:
What are popular job titles related to Fastapi jobs in Houston, TX? For Fastapi jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Fastapi jobs in Houston, TX look for? The top searched job categories for Fastapi jobs in Houston, TX are:
What cities near Houston, TX are hiring for Fastapi jobs? Cities near Houston, TX with the most Fastapi job openings:
Fastapi jobs near you
Infographic showing various Fastapi job openings in Houston, TX as of July 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $130,843 per year, or $62.9 per hour.

LLM Infrastructure Engineer

AMSYS Talent

Houston, TX • On-site

$97K - $127K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

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 HuggingFace Transformers and PyTorch
  • 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
  • Strong Python development experience (3.10+)
  • Hands-on experience building production APIs with FastAPI
  • Experience with HuggingFace Transformers and PyTorch
  • 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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