ZipRecruiter

Log In

1

Fastapi Jobs in Dallas, TX (NOW HIRING)

Vytwo

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 ...

SOCOTEC US

Software Engineer

Dallas, TX · On-site

Responsibilities : • Design and build features end-to-end across modern React frontends and Python (Django / FastAPI) backends • Own components and small services -- from spec through deployment ...

next page

Showing results 1-20

People also search for

All JobsFastapi JobsFastapi Jobs in Dallas, TX

Fastapi information

See Dallas, TX salary details

$117.9K

$133.2K

$150.5K

How much do fastapi jobs pay per year?

As of May 30, 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 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 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.
More about Fastapi jobs
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 Fastapi jobs in Dallas, TX? For Fastapi jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Fastapi jobs in Dallas, TX look for? The top searched job categories for 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:
Fastapi jobs near you

GenAI & Agentic AI Engineer

Vytwo

Prosper, TX • On-site, Remote

Full-time

Posted 9 days ago

Job description

Role: GenAI & Agentic AI Engineer
Location: Whippany, NJ (Hybrid)
Hire Type: FTE
*Must be legally authorized to work in US without need for employer sponsorship now or at any time in the future.

About Position:
We are looking for a skilled GenAI & Agentic AI Engineer with strong experience in building endtoend AI/ML solutions, Generative AI applications, and agentbased automation workflows. The ideal candidate will have a solid background in machine learning along with handson expertise in LLMs, RAG, embeddings, vector databases, and Agentic AI frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.
What You'll Do:
  • Build and deploy GenAI applications using LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.).
  • Develop Agentic AI workflows using frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.
  • Design and implement RAG pipelines, vector search solutions, and embeddingbased retrieval systems.
  • 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 solutions.
  • Implement hallucination reduction, promptengineering strategies, and model evaluation methods.
  • Integrate LLMs with enterprise applications, APIs, and automation workflows.
  • Work with vector databases (FAISS, Pinecone, Chroma, Weaviate) for semantic search.
  • Monitor, evaluate, and optimize GenAI models for accuracy, performance, and cost.
Expertise You'll Bring:
  • 5+ years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation.
  • 2+ years of handson experience in Generative AI (LLMs, embeddings, RAG, LLMbased apps).
  • 6+ months of handson experience with Agentic AI frameworks (CrewAI / AutoGen / LangGraph / LangChain Agents).
  • Strong proficiency in Python and ML libraries (Scikitlearn, Pandas, NumPy).
  • Experience with OpenAI APIs, Azure OpenAI, HuggingFace, and prompt engineering.
  • Familiarity with building scalable APIs using FastAPI, Flask, or Django.
  • Handson knowledge of cloud services (Azure/AWS/GCP) for AI deployment.
  • Strong understanding of REST APIs, microservices, and integration patterns.
  • Experience with Git, CI/CD, Docker, and model deployment best practices.

Flexible work from home options available.