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Fastapi Jobs in Dallas, TX (NOW HIRING)

Hands on experience with FastAPI for API development and integration. Solid understanding and practical experience with the Software Development Life Cycle (SDLC). Experience in developing, testing ...

ML Engineer

Dallas, TX ยท On-site +1

Build scalable AI applications using Python and FastAPI. * Design and maintain RESTful APIs for AI services. * Develop backend services supporting AI agents and copilots. * Integrate AI solutions ...

New

Build and maintain scalable, high-performance backend services using Java (Spring Boot) and Python (Django/FastAPI). * API Management: Design and implement RESTful and GraphQL APIs to support web and ...

Build and maintain scalable, high-performance backend services using Java (Spring Boot) and Python (Django/FastAPI). * API Management: Design and implement RESTful and GraphQL APIs to support web and ...

Gen AI OpenShift Orchestration

Irving, TX ยท Hybrid

$134K - $165K/yr

API Automation Platform (FastAPI / Flask) * Ability to build, extend, and maintain a Python-based automation platform (FastAPI or Flask) that executes OpenShift actions. * Experience designing agent ...

New

Build and maintain scalable, high-performance backend services using Java (Spring Boot) and Python (Django/FastAPI). * API Management: Design and implement RESTful and GraphQL APIs to support web and ...

Build and maintain scalable, high-performance backend services using Java (Spring Boot) and Python (Django/FastAPI). * API Management: Design and implement RESTful and GraphQL APIs to support web and ...

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Fastapi information

See Dallas, TX salary details

$117.9K

$133.2K

$150.5K

How much do fastapi jobs pay per year?

As of Jun 11, 2026, the average yearly pay for fastapi in Dallas, TX is $133,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,308.00 and $138,149.00 per year, depending on experience, location, and employer.

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 Dallas, TX? The most popular types of Fastapi jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Fastapi jobs? Cities near Dallas, TX with the most Fastapi job openings:
Infographic showing various Fastapi job openings in Dallas, TX as of June 2026, with employment types broken down into 80% Full Time, 14% Part Time, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $133,215 per year, or $64 per hour.
Data Scientist - Gen AI ML - Tampa/Irving/ Mississauga

Data Scientist - Gen AI ML - Tampa/Irving/ Mississauga

Photon

Irving, TX โ€ข On-site

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Job Description
Role Summary:
We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices.
Technical Stack:
LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment.
Frameworks: LangChain, LlamaIndex, and Hugging Face.
Orchestration: LangGraph and Multi-Agent Systems (MAS).
Development: Python, FastAPI, and Asynchronous Programming.
RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies.
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning.
Deployment: Docker, Production API management, and LLM monitoring.
Tools: Prompt Engineering, Workflow Design, and GenAI Optimization.
Key Responsibilities:
Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures.
Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval.
Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements.
Design and deploy high-performance, scalable backend services using FastAPI and Async Python.
Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance.
Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools.
Containerize and deploy AI services via Docker to production environments.
Required Qualifications:
5 years of hands-on experience building and deploying GenAI applications in a production setting.
Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.).
Experience with vector search, embedding models, and advanced data retrieval patterns.
Knowledge of model fine-tuning techniques and local LLM quantization/hosting.
Familiarity with production-grade monitoring, API security, and CI/CD for ML.
Compensation, Benefits and Duration
Minimum Compensation: USD 48,000
Maximum Compensation: USD 170,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post