Python, SQL, FastAPI (or similar) * REST API development & microservices * Relational/NoSQL databases, ORMs * Redis, threading/parallelism basics * Testing (unit, integration) * CI/CD, Git, Bash ...
Python, SQL, FastAPI (or similar) * REST API development & microservices * Relational/NoSQL databases, ORMs * Redis, threading/parallelism basics * Testing (unit, integration) * CI/CD, Git, Bash ...
Senior AI Software Engineer
Plano, TX · On-site
$170/hr
Build RESTful APIs using FastAPI and GraphQL APIs using Strawberry * Develop real-time data pipelines using Kafka or Event Hubs * Work with PostgreSQL, MongoDB, and distributed data systems
Senior AI Software Engineer
Plano, TX · On-site
$170/hr
Build RESTful APIs using FastAPI and GraphQL APIs using Strawberry * Develop real-time data pipelines using Kafka or Event Hubs * Work with PostgreSQL, MongoDB, and distributed data systems
Python Microservices Developer
Irving, TX · On-site
$46.75 - $64.25/hr
... FastAPI, Flask, or Django). • Build and maintain RESTful APIs and GraphQL endpoints for seamless communication between services and front-end applications. • Work with both relational (PostgreSQL ...
Python Microservices Developer
Irving, TX · On-site
$46.75 - $64.25/hr
... FastAPI, Flask, or Django). • Build and maintain RESTful APIs and GraphQL endpoints for seamless communication between services and front-end applications. • Work with both relational (PostgreSQL ...
Senior AI Software Engineer
Plano, TX · On-site
$118K - $155K/yr
Build RESTful APIs using FastAPI and GraphQL APIs using Strawberry * Develop real-time data pipelines using Kafka or Event Hubs * Work with PostgreSQL, MongoDB, and distributed data systems
Senior AI Software Engineer
Plano, TX · On-site
$118K - $155K/yr
Build RESTful APIs using FastAPI and GraphQL APIs using Strawberry * Develop real-time data pipelines using Kafka or Event Hubs * Work with PostgreSQL, MongoDB, and distributed data systems
Strong backend Python development with experience building and maintaining production APIs (FastAPI preferred) * Has built scalable data pipelines, ETL workflows, and data orchestration systems
Strong backend Python development with experience building and maintaining production APIs (FastAPI preferred) * Has built scalable data pipelines, ETL workflows, and data orchestration systems
GenAI & Agentic AI Engineer
Prosper, TX · On-site +1
Build scalable AI services using Python , FastAPI/Flask, and cloud platforms (Azure/AWS/GCP). * Collaborate with crossfunctional teams to define use cases and convert them into productionready GenAI ...
Quick apply
GenAI & Agentic AI Engineer
Prosper, TX · On-site +1
Build scalable AI services using Python , FastAPI/Flask, and cloud platforms (Azure/AWS/GCP). * Collaborate with crossfunctional teams to define use cases and convert them into productionready GenAI ...
Senior AI Software Engineer
$117K - $155K/yr
Build RESTful APIs using FastAPI and GraphQL APIs using Strawberry * Develop real-time data pipelines using Kafka or Event Hubs * Work with PostgreSQL, MongoDB, and distributed data systems
Senior AI Software Engineer
$117K - $155K/yr
Build RESTful APIs using FastAPI and GraphQL APIs using Strawberry * Develop real-time data pipelines using Kafka or Event Hubs * Work with PostgreSQL, MongoDB, and distributed data systems
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...
Fastapi information
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.
What are the most commonly searched types of Fastapi jobs in Texas? The most popular types of Fastapi jobs in Texas are:
What are popular job titles related to Fastapi jobs in Texas? For Fastapi jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Fastapi jobs in Texas look for? The top searched job categories for Fastapi jobs in Texas are:
What cities in Texas are hiring for Fastapi jobs? Cities in Texas with the most Fastapi job openings:
Job description
Python Backend Developer
Irving,TX
Fulltime
Responsibilities
- Develop RESTful APIs and backend services
- Design scalable, distributed systems (Pub/Sub, serverless)
- Write clean, testable code with automated tests
- Contribute to CI/CD pipelines and code reviews
Required Skills
- Python, SQL, FastAPI (or similar)
- REST API development & microservices
- Relational/NoSQL databases, ORMs
- Redis, threading/parallelism basics
- Testing (unit, integration)
- CI/CD, Git, Bash scripting
- UNIX/Linux commands
- Experience with Google Cloud Platform, AWS, or Azure
About Newt Global Consulting
Sourced by ZipRecruiter
Industry
It services
Company size
501 - 1,000 Employees
Headquarters location
Irving, TX, US
Year founded
2004