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Senior Fastapi Jobs in Dallas, TX (NOW HIRING)

INSPYR Solutions

Sr. Engineer 2

Fort Worth, TX · On-site

$65/hr

Senior Software Engineer (Java / Microservices) Location: Dallas, TX hybrid 3x per week Rate: $65 ... FastAPI Microservices & APIs * Microservices Architecture * REST APIs * GraphQL * Event-Driven ...

CGI Inc.

Senior AI Software Engineer

Dallas, TX · On-site

$121K - $159K/yr

Senior AI Software Engineer Category: Software Development/ Engineering Main location: United ... Hands on experience developing RESTful APIs using FastAPI and GraphQL API using Strawberry, with a ...

Noblesoft Technologies

Gen AI Lead

Dallas, TX · On-site

$138K - $170K/yr

... Role Overview: Sr AI/ML Lead with around 15+ years of hands-on experience in developing and ... Develop web-based AI applications using frameworks like Flask, FastAPI, or Django. * Implement LLM ...

JDA

Sr. Machine Learning Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

JOB TITLE: Sr. Machine Learning Engineer LOCATION: Coppell, TX (Hybrid role, may work from home ... frameworks like FastAPI or Django; and * 1 year in leveraging Generative AI, including Large ...

ApTask

Python developer

Dallas, TX · On-site

$50 - $68.75/hr

Senior Full Stack Engineer with Python and Go (Golang) Note:- Only Python Developer with AI skills ... Strong Python and GoLang experience Django/Flask/FastAPI REST APIs, async programming Databases:

CGI Inc.

Backend Python Developer

Dallas, TX · On-site

... Senior Backend Developer with Python Application Developer experience. At CGI, you'll make an ... FastAPI . REST APIs . Snowflake . Databricks . Apache Iceberg . Microsoft Azure . SQL . MLflow

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Senior Fastapi information

See Dallas, TX salary details

$24.7K

$79.4K

$161.7K

How much do senior fastapi jobs pay per year?

As of Aug 8, 2026, the average yearly pay for senior fastapi in Dallas, TX is $79,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,100.00 and $101,900.00 per year, depending on experience, location, and employer.

Is senior FastAPI in high demand?

Senior FastAPI developers are in high demand due to the framework's popularity for building fast, scalable APIs with Python. Companies seek experienced professionals skilled in asynchronous programming, RESTful API design, and deployment with tools like Docker and Kubernetes, making this a valuable skill set in the current job market.

Do any big companies use FastAPI?

Several large companies and tech organizations use FastAPI for building high-performance APIs due to its speed and ease of use. Notable examples include Microsoft, Uber, and Netflix, which leverage FastAPI alongside other modern Python frameworks for scalable backend development.

What is the salary of a senior Fastapi developer?

The salary of a senior Fastapi developer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Strong knowledge of Python, RESTful APIs, and cloud deployment can influence compensation levels.

What is the difference between Senior Fastapi vs Backend Developer?

AspectSenior FastapiBackend Developer
Primary FocusBuilding APIs with Fastapi frameworkDeveloping server-side logic across various frameworks
Required SkillsPython, Fastapi, async programming, REST API designPython, multiple frameworks (Django, Flask, Fastapi), database management
Work EnvironmentTech companies, startups, cloud-based projectsVaried industries, enterprise and startup environments
CertificationsPython certifications, Fastapi experiencePython certifications, general backend development certifications

Senior Fastapi specialists focus specifically on building high-performance APIs using the Fastapi framework, often requiring expertise in async programming and REST API design. Backend Developers have a broader scope, working across multiple frameworks and technologies to develop server-side logic. While both roles require Python skills, Senior Fastapi roles are more specialized, whereas Backend Developers have a wider range of tools and responsibilities.

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 are popular job titles related to Senior Fastapi jobs in Dallas, TX? For Senior Fastapi jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Senior Fastapi jobs in Dallas, TX look for? The top searched job categories for Senior Fastapi jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Senior Fastapi jobs? Cities near Dallas, TX with the most Senior Fastapi job openings:
Senior Fastapi jobs near you
Infographic showing various Senior Fastapi job openings in Dallas, TX as of August 2026, with employment types broken down into 87% Full Time, 1% Part Time, and 12% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $79,423 per year, or $38.2 per hour.

Sr Data Scientist - Gen AI ML - Irving

Photon

Irving, TX • On-site

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

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:
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 62,000
Maximum Compensation: USD 217,000
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

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