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Python Fastapi Developer Jobs in Durham, NC (NOW HIRING)

Becton, Dickinson and Company

Engineer II

Durham, NC · Remote

NET Core/C# or Python (FastAPI/Flask) for engineering analysis automation, with front-end development using Power Apps or lightweight web frameworks. * Create solutions leveraging Power Apps, Power ...

Becton , Dickinson and Company

Engineer II

Durham, NC · Remote

$88.30K - $121K/yr

NET Core/C# or Python (FastAPI/Flask) for engineering analysis automation, with front-end development using Power Apps or lightweight web frameworks. * Create solutions leveraging Power Apps, Power ...

Becton, Dickinson and Company

Engineer II

Durham, NC · On-site

$94.20K - $129K/yr

NET Core/C# or Python (FastAPI/Flask) for engineering analysis automation, with front-end development using Power Apps or lightweight web frameworks. * Create solutions leveraging Power Apps, Power ...

Pwc

GenAI Python Systems Engineer-Director

Raleigh, NC · On-site

$155K - $410K/yr

... Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ... maintaining FastAPI endpoints for applications - Understanding AI techniques enhancing LLMs ...

Aspirion

Sr Software Development Manager

Durham, NC · On-site

Work closely with the VP of Engineering to craft strategy and translate into execution across ... Python, JavaScript * Data & Messaging: PostgreSQL, Kafka, RabbitMQ, Redis, or similar technologies

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How much do python fastapi developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for python fastapi developer in Durham, NC is $56.65, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $64.33 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.
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Python Fastapi Developer jobs near you
Infographic showing various Python Fastapi Developer job openings in Durham, NC as of May 2026, with employment types broken down into 81% Full Time, 7% Part Time, and 12% Contract. Highlights an 83% Physical, and 17% Remote job distribution, with an average salary of $117,824 per year, or $56.6 per hour.

Python - AI Engineer Contractor

Omm IT Solutions

Cary, NC • On-site

Full-time

Posted 3 days ago

Job description

Job Description
PLEASE NOTE:
  • It is a 100% on-site position, Carry, NC.
  • 5 days/week.
  • Local candidates.
  • HackerRank assessment required

Job Description:
  • Build GenAI applications leveraging foundation models and advanced architectures such as GraphRAG.
  • Develop autonomous AI agents using modern Agentic frameworks.
  • Design and deploy RAG and GenAI services using Python (FastAPI), Docker, and cloud platforms (AWS, Azure, or GCP).
  • Build scalable REST APIs that power LLM-driven applications integrated with enterprise data sources.
  • Implement LLM evaluation frameworks using tools such as Ragas, LangSmith, or custom benchmarks to measure answer relevance, groundedness, and hallucination rates.
  • Apply LLMOps/MLOps practices, including CI/CD pipelines, prompt/version management, automated testing, and monitoring of latency, cost, and response quality.
  • Develop systems leveraging Embeddings at scale, knowledge graphs, and ontology extraction.
  • Collaborate across engineering teams, mentor developers, and help drive innovation in GraphRAG and Agentic AI architectures.

SKILL SET:
  • Focus on building AI-driven solutions using Python, including LLMs, Embeddings, knowledge graphs, and RAG Architecture.

Requirements
Required Qualifications:
  • Degree in Computer Science, AI/ML, or related field.
  • 5+ years of AI/ML-focused software engineering experience.
  • Production experience building LLM-based or Agentic AI systems.
  • Strong expertise in Python and modern AI frameworks.
  • Experience with Embeddings, knowledge graphs, ontology extraction, and advanced RAG/GraphRAG implementations.
  • Full-stack development experience (Python back end + modern front end).
  • Experience deploying AI workloads to AWS, Azure, or GCP.
  • Familiarity with LLMOps/MLOps tooling and model evaluation frameworks.
  • Strong problem-solving, communication, and collaboration skills.

Apply