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Senior Fastapi Jobs in Frisco, TX (NOW HIRING)

Lead Assistant Manager

Dallas, TX · On-site

$40K - $51K/yr

This role is perfect for a mid to senior-level engineer with a strong foundation in React ... Design and implement RESTful APIs using Python (FastAPI, Flask) for server-side logic. * Integrate ...

Lead Assistant Manager

Dallas, TX · On-site

$40K - $51K/yr

This role is perfect for a mid to senior-level engineer with a strong foundation in React ... Design and implement RESTful APIs using Python (FastAPI, Flask) for server-side logic. * Integrate ...

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 ...

Job Title: Sr. AI QA Engineer Work Location: Irving, TX Required Skills: * 7+ years of Python ... Experience with RESTful API development (FastAPI, Flask, or Django). * Familiarity with cloud ...

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 ...

Senior Software Engineer (Remote)

Richardson, TX · Remote

$111K - $146K/yr

Design and develop production software and services using technologies such as Golang and Python, including APIs and services built with frameworks such as Flask or FastAPI. * Build and operate ...

Showing results 41-60

Senior Fastapi information

See Frisco, TX salary details

$23.4K

$75.1K

$153K

How much do senior fastapi jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior fastapi in Frisco, TX is $75,144.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,800.00 and $96,400.00 per year, depending on experience, location, and employer.

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 popular job titles related to Senior Fastapi jobs in Frisco, TX?

For Senior Fastapi jobs in Frisco, TX, the most frequently searched job titles are:

What cities near Frisco, TX are hiring for Senior Fastapi jobs?

Cities near Frisco, TX with the most Senior Fastapi job openings:

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

Photon

Irving, TX • On-site

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 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