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Python Fastapi Developer Jobs in North Carolina (NOW HIRING)

AI Observability Engineer Location: Charlotte, NC / Philadelphia, PA We are looking for an ... Build REST APIs and AI microservices using Python and FastAPI. * Develop and maintain ML pipelines ...

Front End Developer

Fayetteville, NC ยท On-site

$155K - $160K/yr

Frontend Developer (Python / React) We're looking for a Frontend Developer who enjoys building ... Familiarity with FastAPI or other Python web frameworks. * Experience with spreadsheet-like UI ...

Data Engineer with Python and SQL

Charlotte, NC ยท On-site

$111K - $134K/yr

Hiring Alert | Data Engineer - Python & SQL Location: Charlotte, NC (Onsite) Employment Type ... FastAPI * Data Quality & Validation * Performance Tuning Key Responsibilities: * Design and build ...

Cloud Automation Lead/Engineer - API

Charlotte, NC ยท On-site

$100K - $131K/yr

... DevOps, and QA teams to deliver features end-to-end. Required Skills & Experience * 3-8 years of backend development experience with Python. * Strong experience with Flask or FastAPI frameworks.

Cloud Automation Lead/Engineer - API

Charlotte, NC ยท On-site

$100K - $131K/yr

... DevOps, and QA teams to deliver features end-to-end. Required Skills & Experience * 3-8 years of backend development experience with Python. * Strong experience with Flask or FastAPI frameworks.

Lead Infrastructure Engineer

Charlotte, NC ยท On-site

$105K - $137K/yr

... developer experiences, governance gates, and observability capabilities into a unified platform ... Strong proficiency in Python (FastAPI) and/or Java for implementing production microservices ...

... engineering, RAG pipelines * Evaluate and adopt emerging AI technologies (e.g., Copilot, Foundry, open-source frameworks) * Python (FastAPI, data pipelines, AI/ML frameworks) * Cloud-native patterns ...

... engineering, RAG pipelines * Evaluate and adopt emerging AI technologies (e.g., Copilot, Foundry, open-source frameworks) * Python (FastAPI, data pipelines, AI/ML frameworks) * Cloud-native patterns ...

Showing results 41-60

Python Fastapi Developer information

What is a Python FastAPI developer?

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 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 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 popular job titles related to Python Fastapi Developer jobs in North Carolina?

For Python Fastapi Developer jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Python Fastapi Developer jobs in North Carolina look for?

The top searched job categories for Python Fastapi Developer jobs in North Carolina are:

What cities in North Carolina are hiring for Python Fastapi Developer jobs?

Cities in North Carolina with the most Python Fastapi Developer job openings:

Infographic showing various Python Fastapi Developer job openings in North Carolina as of September 2026, with employment types broken down into 2% Internship, 88% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution.

AI Observability Engineer

Charlotte, NC โ€ข On-site

Merican
IT Servicesย โ€ขย 51 - 200 employees

Full-time

Re-posted 22 days ago


Job description

Job Title: AI Observability Engineer
Location: Charlotte, NC / Philadelphia, PA
Job Description
We are looking for an experienced AI Observability Engineer to design, deploy, and monitor enterprise AI/ML solutions with a strong focus on Generative AI, LLMs, RAG, and AI observability. The ideal candidate will have hands-on experience building scalable AI applications, implementing monitoring frameworks, and optimizing AI model performance in production environments.
Key Responsibilities
  • Design and develop enterprise-grade Generative AI applications using OpenAI, AWS Bedrock, and Hugging Face.
  • Build and optimize Retrieval-Augmented Generation (RAG) solutions using LangChain, LangGraph, vector embeddings, and Azure AI Search.
  • Develop Agentic AI workflows and multi-agent orchestration solutions.
  • Optimize LLM inference using LoRA, QLoRA, vLLM, PagedAttention, and continuous batching.
  • Build REST APIs and AI microservices using Python and FastAPI.
  • Develop and maintain ML pipelines for model training, deployment, monitoring, and lifecycle management.
  • Implement AI observability using tools like Arize to monitor model performance, prompt quality, hallucinations, latency, and inference metrics.
  • Establish AI governance, evaluation frameworks, and guardrails for responsible AI.
  • Develop machine learning models using PyTorch, Scikit-learn, and XGBoost.
  • Build analytics dashboards and provide AI-driven insights to stakeholders.
  • Deploy containerized applications using Docker, GitHub, and CI/CD pipelines.
  • Collaborate with cross-functional teams to deliver scalable AI solutions.
Required Skills
  • Strong experience with Generative AI, LLMs, and RAG architectures.
  • Hands-on experience with OpenAI, AWS Bedrock, Hugging Face, LangChain, and LangGraph.
  • Proficiency in Python and FastAPI.
  • Experience with AI observability platforms such as Arize.
  • Knowledge of PyTorch, Scikit-learn, and XGBoost.
  • Experience with Docker, GitHub, and CI/CD pipelines.
  • Strong understanding of AI governance, model evaluation, and responsible AI practices.
  • Excellent analytical, problem-solving, and communication skills.

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About Merican

Sourced by ZipRecruiter

Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

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