Senior AI Engineer

Job Title: Senior AI Engineer (GenAI / Agentic AI)

Location: Charlotte, NC (Open to relocation / possible remote)

Employment Type: W2

Job Summary:

We are looking for a Senior AI Engineer with strong experience in Generative AI and Agentic AI to design, build, and deploy end-to-end AI applications. The role involves working on advanced AI workflows, RAG pipelines, and scalable cloud-based solutions.

Key Responsibilities:

• Design and build agentic AI workflows using LangChain and LangGraph
• Develop and optimize RAG (Retrieval-Augmented Generation) pipelines
• Build and deploy AI services on Google Vertex AI
• Develop backend services using Python (FastAPI) or Node.js
• Create user-facing applications using React / Next.js
• Implement observability (logging, tracing, monitoring)
• Manage data pipelines (chunking, embeddings, vector databases)
• Ensure data security, governance, and AI safety (guardrails, prompt security)
• Optimize performance, latency, and cost
• Collaborate with cross-functional teams and mentor junior engineers

Required Skills:

• 7+ years of software engineering experience
• 3+ years of hands-on GenAI / ML experience
• Strong experience with LangChain and LangGraph
• Solid understanding of RAG pipelines and vector databases
• Experience with Google Vertex AI (or AWS/Azure AI services)
• Backend development (Python / Node.js) and frontend (React)
• Experience with Docker, Kubernetes, and CI/CD
• Knowledge of AI evaluation, monitoring, and prompt engineering
• Good understanding of data security and governance.

Nice to Have Experience:

• Experience with LlamaIndex or knowledge graphs
• Familiarity with advanced agent frameworks and LLM orchestration
• Experience with structured RAG (SQL/Graph-based retrieval)

Regards, OpenKyber

For applications and inquiries, contact: [email protected]