AI Engineer – Agentic AI

Tasks

• Design and develop agentic AI solutions and multi-agent workflows.
• Implement planning, memory, reasoning, and tool-use capabilities.
• Build RAG pipelines and integrate enterprise knowledge sources.
• Develop scalable REST APIs and AI-powered microservices.
• Optimize AI application performance, security, and reliability.

Requirements

• Experience: 15+ years
• Programming: Python
• LLMs: GPT, Azure OpenAI, Claude
• Agentic AI Frameworks: LangChain, Semantic Kernel, AutoGen, CrewAI
• RAG & Prompt Engineering: RAG pipelines, embeddings, prompt optimization
• Vector Databases: FAISS, Pinecone, Azure AI Search
• Backend Development: REST APIs, Microservices, Enterprise Integrations
• Cloud AI Services: Azure AI or AWS AI Services
• A hands-on AI Engineer with strong Python expertise and proven experience building production-ready Agentic AI, LLM, and RAG solutions.

How to apply

• Share your updated resume by email.

Location

• Charlotte, NC