AI Engineers (Python and React)

Cloudious LLC
Charlotte, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 146K

Job location

Charlotte, United States of America

Tech stack

Artificial Intelligence
Component-Based Software Engineering
Software as a Service
Continuous Integration
DevOps
Python
Web Applications
Data Logging
React
Large Language Models
Backend
Containerization
AI Platforms
Kubernetes
Infrastructure Automation Frameworks
Data Analytics
Front End Software Development
Docker

Job description

AI Platform Architecture: Design, develop, and deliver enterprise-grade AI platform capabilities that support diverse deployment models, including SaaS and federated environments. Agentic Workflows: Build and integrate Model Context Protocol (MCP) based agentic services, designing complex workflows and reusable application components for widespread internal use. Full-Stack Development: Develop and maintain scalable, high-performance backends using Python and responsive, modern frontends using React. Advanced AI Implementation: Lead the development of RAG-based systems, autonomous AI agents, and diverse data-driven use cases to solve complex business problems. Security & DevOps: Integrate robust security protocols, comprehensive logging, and automated CI/CD pipelines to ensure platform stability and compliance. Cross-Functional Leadership: Collaborate with product managers, data scientists, and security teams to deliver seamless, production-ready AI solutions from concept to deployment.

Requirements

The ideal candidate is an expert in Python and React, with a deep understanding of Agentic workflows, MCP-based services, and RAG architectures., Technical Proficiency: Strong expertise in Python (backend) and React (frontend) for building large-scale web applications. AI Specialization: Proven experience building RAG systems and orchestrating AI Agents. Protocol Knowledge: Practical experience with MCP (Model Context Protocol) and building component-based architectures. Enterprise Standards: Deep understanding of enterprise-grade security, logging, and infrastructure automation (CI/CD). Deployment Experience: Hands-on experience delivering and managing capabilities in SaaS and federated environments. Problem Solving: Ability to translate complex data-driven requirements into scalable software solutions. Good-to-Have: Experience with containerization (Docker, Kubernetes). Knowledge of vector databases (e.g., Pinecone, Milvus) and LLM observability tools. Experience working in a fast-paced IT services or product-led organization

Benefits & conditions

  • $150.00 per hour Join a dynamic network of Backend Engineers, connecting with top AI labs and companies that seek your specialized expertise. This opportunity allows you to be part of an ongoing ta…

  • Just now, + $150.00 per hour Join a dynamic network of Frontend Engineers where you can connect with leading AI labs and companies seeking your expertise. This opportunity allows you to become part of a talent…

  • Just now

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