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Fastapi Python Jobs in North Carolina (NOW HIRING)

System Edge (USA) L.L.C.

AI/ML Developer

Charlotte, NC · On-site

Backend Engineering (Python) Build and maintain backend services using FastAPI or Flask. Develop scalable API endpoints for AI applications, embeddings, and retrieval systems. Ensure backend code ...

TEKsystems

Python Full Stack Developer

Charlotte, NC

$65 - $80/hr

... or FastAPI. - Experience working on SQL with ability to run various data analytics tasks and ... Python, Django, React.js, Sql, databricks Top Skills Details Python,Django,React.js Job Type ...

TEKsystems

Python Full Stack Developer

Charlotte, NC

$65 - $80/hr

... or FastAPI. - Experience working on SQL with ability to run various data analytics tasks and ... Python, Django, React.js, Sql, databricks Top Skills Details Python,Django,React.js Job Type ...

US Bank

Credit Risk Python Architect

Charlotte, NC · On-site

$111K - $131K/yr

We are seeking a Python developer / solutions architect to drive forward our next-gen model ... If you can connect the dots between Pandas / Polars, FastAPI, Docker, and Kubernetes we want to ...

U.S. Bank

Credit Risk Python Architect

Charlotte, NC · On-site

$111K - $131K/yr

We are seeking a Python developer / solutions architect to drive forward our next-gen model ... If you can connect the dots between Pandas / Polars, FastAPI, Docker, and Kubernetes we want to ...

BC Forward

Full Stack AI Developer

Charlotte, NC · On-site

$89.73/hr

The ideal candidate will have strong experience in React, TypeScript, Python, and FastAPI, and a proven ability to integrate AI models and data services to deliver secure, scalable solutions from day ...

Scalence L.L.C.

Senior AI Engineer

Charlotte, NC · On-site

$102K - $140K/yr

... using Python and FastAPI • Develop scalable agentic workflows capable of processing large-scale data (batch and streaming pipelines) • Design and optimize Retrieval-Augmented Generation (RAG ...

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Fastapi Python information

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 are popular job titles related to Fastapi Python jobs in North Carolina? For Fastapi Python jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Fastapi Python jobs in North Carolina look for? The top searched job categories for Fastapi Python jobs in North Carolina are:
What cities in North Carolina are hiring for Fastapi Python jobs? Cities in North Carolina with the most Fastapi Python job openings:
Fastapi Python jobs near you
Infographic showing various Fastapi Python job openings in North Carolina as of June 2026, with employment types broken down into 100% Full Time. Highlights an 46% In-person, and 54% Remote job distribution.
AI/ML Developer

AI/ML Developer

System Edge (USA) L.L.C.

Charlotte, NC • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Title: AI/ML Developer
Location – Charlotte NC (Local or Nearby State Candidate )
Client: Wells Fargo( We are working with Prime Vendor)
Visa: Visa Independent Candidate No H1B
Mode of Interview: In-Person
Job Overview
We are looking for a highly capable – Python & AI/ML with deep expertise in backend engineering, LLM-based applications, RAG architectures, and AI agent frameworks.
You will lead the design, development, and deployment of production-grade AI systems built on Python, modern LLM tooling, retrieval engines, embeddings, and vector databases. This is a hands-on leadership role focused on building scalable and intelligent AI products.
Key Responsibilities
Lead the architecture and development of LLM-driven applications, AI agents, and RAG-based systems.
Provide technical guidance, conduct code reviews, and mentor junior team members.
Drive best practices in Python backend engineering, API development, and AI system design. Backend Engineering (Python)
Build and maintain backend services using FastAPI or Flask.
Develop scalable API endpoints for AI applications, embeddings, and retrieval systems.
Ensure backend code quality, modularity, performance, and maintainability.LLMs, RAG, and AI Agent Development
Build AI applications using: LangChain, LangGraph, Semantic Kernel, Haystack, LlamaIndex, AutoGen
Develop autonomous or semi-autonomous AI agents with tool calling and workflow graphs.
Implement Retrieval-Augmented Generation (RAG), embedding pipelines, chunking strategies, reranking, and grounding techniques.
Work with OpenAI SDK and other LLM providers (Anthropic, Azure OpenAI, Cohere, etc.).
Manage prompt engineering, prompt routing, safety guardrails, and evaluation metrics. Data & Vector Search Engineering
Build data pipelines for indexing, embeddings, and retrieval workflows.
Work with SQL databases (PostgreSQL, MySQL, etc.) for metadata and application storage.
Required Qualifications
•     Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related fields.
•     8 TO 10 years of experience in Python backend development.
•     Strong proficiency in FastAPI or Flask.
•     Strong working knowledge of SQL databases (Postgres, MySQL, etc.).
Hands-on expertise with vector databases:
Redis, Postgres/pgvector, Elasticsearch, or Neo4j.
•     Practical experience with FAISS for similarity search.
•     Hands-on experience with modern LLM frameworks:
LangChain, LangGraph, Semantic Kernel, Haystack, LlamaIndex, AutoGen.
•     Strong understanding of:
Embeddings & vector search
RAG pipelines
Retrieval optimization
Chunking strategies
Document loaders & indexing
Experience building AI apps using OpenAI SDK or similar.
Experience deploying APIs/services using Docker and cloud environments.
Leadership experience: guiding teams, conducting reviews, driving architecture decisions

Apply