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Python Fastapi Developer Jobs in Dallas, TX (NOW HIRING)

Python LLM Developer

Irving, TX ยท On-site

$48.25 - $66.50/hr

Proficiency in programming languages commonly used in AI, such as Python, FastAPI. AI/ML Libraries: Familiarity with basic libraries and tools like scikit-learn, Pandas, and NumPy. API Usage: Know ...

Senior Python Developer

Plano, TX ยท On-site

$116K - $157K/yr

Build scalable RESTful APIs using Python frameworks such as FastAPI, Django, or Flask. * Develop ... Mentor junior developers and participate in technical design discussions. * Ensure application ...

GenAI & Agentic AI Engineer Location: Whippany, NJ (Hybrid) Hire Type: FTE * Must be legally ... Build scalable AI services using Python , FastAPI/Flask, and cloud platforms (Azure/AWS/GCP)

Python Developer

Irving, TX ยท On-site

$48.25 - $66.50/hr

Job Summary We are looking for a Mid-Level Python Developer with hands-on experience in Python ... Familiarity with web frameworks such as Flask, FastAPI, or Django. Strong knowledge of JSON, HTTP ...

Python Developer

Dallas, TX ยท On-site

$50 - $68.75/hr

Strong Python Django/Flask/FastAPI REST APIs, async programming Databases: PostgreSQL/MySQL/MongoDB Git, CI/CD AI MLFrameworks CrewAI LangChain Machine Learning Deep Learning Generative AI AI Agents ...

AI Engineer

Dallas, TX ยท On-site

Focus on AI application engineers building enterprise GenAI solutions rather than AI researchers ... Continue prioritizing candidates with experience in Python, FastAPI, RAG/GraphRAG, Docker, cloud ...

New

Python Developer

Plano, TX ยท On-site

$48 - $66.25/hr

Production experience with FastAPI, delivering secure and versioned APIs. * Cloud experience on GCP (e.g., Cloud Run, GKE, Pub/Sub) or AWS (e.g., Lambda, EKS, API Gateway, SQS). * Experience with ...

Python Developer

Irving, TX ยท On-site

$48.25 - $66.50/hr

Python Developer Irving, TX Duration: 12+ Months Work Mode: Hybrid (3 Days in a week) Technical ... FASTAPI * SQLAlchemy * Alembic * pytest * Oracle Databases * MongoDB (nice to have ...

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Python Fastapi Developer information

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How much do python fastapi developer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for python fastapi developer in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 per hour, depending on experience, location, and employer.

What is a Python FastAPI Developer job?

A Python FastAPI Developer is responsible for designing, developing, and maintaining backend applications using FastAPI, a modern web framework for building APIs with Python. They work on creating high-performance APIs, integrating with databases, implementing authentication, and ensuring scalability. This role often involves working with asynchronous programming, cloud services, and containerization tools like Docker. Developers collaborate with teams to create efficient, secure, and well-documented API endpoints for web and mobile applications.

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

To thrive as a Python FastAPI Developer, you need strong proficiency in Python programming, experience designing RESTful APIs with FastAPI, and a background in web development concepts. Familiarity with version control systems like Git, containerization tools such as Docker, and knowledge of cloud platforms or SQL/NoSQL databases are commonly required, and certifications in cloud services or Python development can be advantageous. Excellent problem-solving skills, effective communication, and the ability to collaborate in agile teams help developers contribute efficiently to complex projects. These competencies ensure robust, scalable backend solutions and smooth coordination within development teams to meet business goals.

What are some typical daily tasks for a Python FastAPI Developer?

A Python FastAPI Developer typically spends their day designing, developing, and maintaining RESTful APIs to support web or mobile applications. This involves writing clean and efficient Python code, collaborating with frontend developers or other backend engineers to integrate new features, and ensuring the application meets performance and security standards. Developers also participate in code reviews, debugging, and continuous integration processes, while regularly communicating with product managers or stakeholders to align on project requirements. Staying up to date with FastAPI enhancements and industry best practices is also a common part of the role.

What are popular job titles related to Python Fastapi Developer jobs in Dallas, TX? For Python Fastapi Developer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Python Fastapi Developer jobs in Dallas, TX look for? The top searched job categories for Python Fastapi Developer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Python Fastapi Developer jobs? Cities near Dallas, TX with the most Python Fastapi Developer job openings:
Infographic showing various Python Fastapi Developer job openings in Dallas, TX as of July 2026, with employment types broken down into 88% Full Time, 2% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $120,620 per year, or $58 per hour.
Python LLM Developer

Python LLM Developer

Hexaware Technologies, Inc

Irving, TX โ€ข On-site

$48.25 - $66.50/hr

Other

Posted 22 days ago


Job description

Role Python LLM Developer

Location: Irving, TX ( day1 onsite, hybrid )

Python LLM

Python LLM: Should have very strong in-depth knowledge in Python Programming

Programming Fundamentals: Proficiency in programming languages commonly used in AI, such as Python, FastAPI.

AI/ML Libraries: Familiarity with basic libraries and tools like scikit-learn, Pandas, and NumPy.

API Usage: Know-how to integrate pre-trained AI models via APIs, e.g., cloud-based AI services.

Data Management: Skills in collecting, preprocessing, and handling datasets.

AI Concepts: Familiarity with concepts like machine learning, supervised and unsupervised learning, and foundational algorithms.

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras.

Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques.

Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps.

Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications.

Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.