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Fastapi Developer Jobs in Charlotte, NC (NOW HIRING)

Merican

AI Observability Engineer

Charlotte, NC · On-site

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 ...

CYNET SYSTEMS

Agentic AI Developer

Charlotte, NC · On-site

$85/hr

Requirement/Must Have: * 3-8 years of experience in software development or data engineering ... Strong Python (FastAPI, async, Pydantic) or Node/TypeScript equivalent. * Hands-on with at least ...

ScrumLink, Inc.

Cloud Solution Architect

Charlotte, NC · On-site

$62 - $85/hr

Experience with DevOps, CI/CD, containerization and IaaC. · Preferable FSD tech stack: · Frontend: React · Backend: Python (Django or FastAPI) · Database: PostgreSQL or DynamoDB (NoSQL). Detailed ...

Amicis Global

Data Engineer

Charlotte, NC · On-site

$50 - $70/hr

Experience with developing API's using FastAPI or similar frameworks in Python * Familiarity with the DevOps lifecycle (git, Jenkins, etc.), CI/CD processes * Good understanding of ETL/ELT processes

Teladoc

Staff AI Engineer, GenAI

Concord, NC · Remote

$200K - $230K/yr

... FastAPI, Flask), enabling secure, performant, and reliable model access at scale. * Define and implement CI/CD pipelines for GenAI and ML services, using GitHub Actions/Azure DevOps, MLFlow, and ...

GDIT

Software Engineer - MID

Concord, NC · Hybrid

$108K - $147K/yr

Software Engineering Job Qualifications: Skills: Back-End Development, Engineering, Programming ... Proficient in Flask or FastAPI and familiar withrelational/non-relationaldatabases including ...

QUANTUM TECHNOLOGIES LLC

Gen AI Engineer

Charlotte, NC · On-site

$94/hr

Gen AI Engineer Location: Charlotte, NC Duration: 12 Months + Extension Bill Rate: $94/hr Job Type ... Strong LangChain, LangGraph, MCP, FastAPI, REST API * Experience building Agentic AI / Multi-Agent ...

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Fastapi Developer information

See Charlotte, NC salary details

$16

$51

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How much do fastapi developer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for fastapi developer in Charlotte, NC is $51.61, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.17 per hour, depending on experience, location, and employer.

What are some common challenges FastAPI developers face when integrating third-party services or APIs?

FastAPI Developers often encounter challenges when integrating third-party services, such as handling authentication protocols (like OAuth2), ensuring compatibility between JSON schemas, and managing asynchronous calls to avoid performance bottlenecks. It’s also common to troubleshoot and adapt to inconsistencies in external API documentation or rate limits. Collaborating closely with frontend teams and DevOps professionals helps streamline these integrations, ensuring robust, scalable API solutions.

What is the difference between Fastapi Developer vs Backend Developer?

AspectFastapi DeveloperBackend Developer
Required SkillsPython, Fastapi, REST APIs, async programmingMultiple languages (Python, Java, Node.js), REST/SOAP APIs, databases
Work EnvironmentWeb development, API-focused projects, microservicesBroader software development, server-side logic, database management
Industry UsageTech startups, SaaS, API-driven servicesEnterprise, e-commerce, finance, various industries

Fastapi Developers specialize in building high-performance APIs using Python and Fastapi, often within microservices architectures. Backend Developers have a broader scope, working with multiple languages and technologies to develop server-side applications across various industries. While Fastapi Developers focus on API efficiency, Backend Developers handle comprehensive backend systems.

What are the key skills and qualifications needed to thrive as a FastAPI developer?

To thrive as a FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and experience with FastAPI, often supported by a background in computer science or related fields. Familiarity with tools like SQL/NoSQL databases, Docker, and cloud platforms, as well as knowledge of asynchronous programming and API documentation tools like Swagger, is typically required. Excellent problem-solving skills, attention to detail, and effective communication set outstanding FastAPI developers apart. These skills are crucial for building reliable, high-performance APIs that meet modern application demands and facilitate seamless team collaboration.

What is a FastAPI developer?

A FastAPI Developer is a software engineer who specializes in building web applications and APIs using the FastAPI framework, which is a modern, fast (high-performance) web framework for Python. FastAPI Developers are responsible for designing, developing, and maintaining backend services and APIs that are efficient, robust, and scalable. They often work with databases, authentication, and deployment processes, and ensure that the API endpoints adhere to best practices for security and performance. Their work is crucial for enabling smooth communication between front-end applications and backend systems.
What are the most commonly searched types of Fastapi Developer jobs in Charlotte, NC? The most popular types of Fastapi Developer jobs in Charlotte, NC are:
What are popular job titles related to Fastapi Developer jobs in Charlotte, NC? For Fastapi Developer jobs in Charlotte, NC, the most frequently searched job titles are:
What job categories do people searching Fastapi Developer jobs in Charlotte, NC look for? The top searched job categories for Fastapi Developer jobs in Charlotte, NC are:
What cities near Charlotte, NC are hiring for Fastapi Developer jobs? Cities near Charlotte, NC with the most Fastapi Developer job openings:
Fastapi Developer jobs near you
Infographic showing various Fastapi Developer job openings in Charlotte, NC as of August 2026, with employment types broken down into 78% Full Time, 7% Part Time, 1% Temporary, and 14% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $107,346 per year, or $51.6 per hour.

AI Observability Engineer

Merican

Charlotte, NC • On-site

Full-time

Posted 15 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

Social media

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