Skip to main content
Tallo logoTallo logo

AI Engineers-python and react

Job

Compugra Systems

Charlotte, NC (In Person)

Full-Time

Posted 3 days ago (Updated 1 day ago) • Actively hiring

Expires 7/1/2026

Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Review key factors to help you decide if the role fits your goals.
How is this calculated?
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Role :
AI Engineers Location :
Charlotte NC ( Onsite) Hire type :
Contract Duration:
6-12 months - The ideal candidate is an expert in Python and React, with a deep understanding of Agentic workflows, MCP-based services, and RAG architectures.
Key Responsibilities :
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.
Must-Have Qualifications:
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