1

Fastapi Python Jobs in Monroe, NC (NOW HIRING)

Key Responsibilities - GenAI, Agentic AI, FastAPI, pipeline building, ML and model deployment in ... Expert-level proficiency in Python and ML frameworks (Scikit-learn, TensorFlow, PyTorch, H2O ...

Gen AI / Agentic AI Lead

Charlotte, NC · On-site

$136K - $168K/yr

... Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers ... development (FastAPI, Flask) and containerization (Docker). • Solid understanding of AI ...

Azure Data Engineer- onsite

Charlotte, NC · Hybrid

$106K - $128K/yr

Expert-level Python (including API development with FastAPI) and SQL across relational and NoSQL databases. Big Data Tools: Strong hands-on experience with Spark (PySpark) and Delta Lake principles.

Sr. Software Engineer, GenAI

Concord, NC · Remote

$125K - $165K/yr

Hands-On : you've used Python (FastAPI or equivalent) PostgreSQL or any relational language, Redis etc, and you're open to adopting new tools to get the job done. * Data chops: Comfortable with SQL ...

Software Engineer

Charlotte, NC · Hybrid

$69 - $74/hr

... Python and modern frameworks * Build and enhance generative AI systems, including agent-based architectures * Develop and maintain RESTful APIs (FastAPI, Flask, Django) * Collaborate across teams to ...

Consumer Behavior Modeler II

Charlotte, NC · On-site

$53.50 - $69.25/hr

Strong Python development skills with production-quality engineering practices. * Data and ... FastAPI services, containerization, model deployment, and monitoring. Shift: 1st shift (United ...

Consumer Behavior Modeler II

Charlotte, NC · On-site

$53.50 - $69.25/hr

Strong Python development skills with production-quality engineering practices. * Data and ... FastAPI services, containerization, model deployment, and monitoring. Shift: 1st shift (United ...

Software Engineer

Charlotte, NC · Hybrid

$69 - $74/hr

Build and maintain RESTful APIs and backend services using Python frameworks (FastAPI, Flask, Django) * Develop and scale systems for document extraction and processing within supply chain workflows

next page

Showing results 1-20

Fastapi Python information

See Monroe, NC salary details

$12

$54

$80

How much do fastapi python jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for fastapi python in Monroe, NC is $54.35, according to ZipRecruiter salary data. Most workers in this role earn between $44.81 and $61.73 per hour, depending on experience, location, and employer.

What is the difference between Fastapi Python vs Django Developer?

AspectFastapi PythonDjango Developer
Primary FocusBuilding high-performance APIsDeveloping full-stack web applications
FrameworkFastapiDjango
Work EnvironmentBackend API services, microservicesWeb applications, content management systems
Required SkillsPython, asynchronous programming, REST APIsPython, Django framework, HTML/CSS, databases

Fastapi Python developers specialize in creating fast, scalable APIs using the Fastapi framework, often for microservices and backend systems. Django developers focus on building comprehensive web applications with integrated features. Both roles require Python, but Fastapi emphasizes performance and asynchronous programming, while Django offers a full-stack solution.

What job categories do people searching Fastapi Python jobs in Monroe, NC look for? The top searched job categories for Fastapi Python jobs in Monroe, NC are:
What cities near Monroe, NC are hiring for Fastapi Python jobs? Cities near Monroe, NC with the most Fastapi Python job openings:
AIML Architect

Other

Posted 8 days ago


Job description

AIML Architect

Charlotte, NC – 3 - 4 days a week onsite (Locals Required)

Long term Contract

Role DescriptionKey Responsibilities - GenAI, Agentic AI, FastAPI, pipeline building, ML and model deployment in SageMaker.

  • Professional experience in AI/ML engineering, data engineering, solution architecture, or related fields.
  • Expert-level proficiency in Python and ML frameworks (Scikit-learn, TensorFlow, PyTorch, H2O, XGBoost, etc.).
  • Strong hands-on experience with AWS SageMaker for architecting, training, tuning, deployment, and pipeline automation of enterprise ML solutions.
  • Strong knowledge of H2O.ai (Driverless AI or H2O3), AutoML frameworks, and enterprise ML workflows.
  • Proficient with MLflow for experiment tracking, model packaging, deployment, and lifecycle management.
  • Advanced experience with PySpark and distributed data processing.
  • Experience with AWS EMR for Spark cluster management and large-scale data transformations.
  • Solid understanding of MLOps concepts including CI/CD for ML, feature stores, monitoring, drift detection, and model governance.
  • Strong background in object-oriented programming, algorithm design, software engineering best practices, and scalable solution architecture.
  • Experience with Docker and containerized ML workloads.