Senior Agentic AI Tech Lead - Remote LLM & RAG Architect

CEI; Chester, Northern (Delaware County, KY); Hybrid; USD 131,000 - 193,000; Full time

Job summary

CEI seeks a Senior Agentic AI Tech Lead to design, build, and deploy enterprise-grade AI agents and intelligent automation solutions. You will focus on agentic AI applications, Retrieval-Augmented Generation (RAG) systems, LLM-powered workflows, and scalable AI platforms using Python and modern AI frameworks.

The ideal candidate has hands-on experience building production AI systems, integrating LLMs, orchestrating multi-agent workflows, and deploying cloud-native applications that support

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field.
• 8+ years of software development experience with strong proficiency in Python.
• Experience deploying Generative AI, LLM, or Agentic AI solutions in production environments.
• Experience developing RAG architectures and integrating vector databases.
• Strong understanding of prompt engineering, embeddings, semantic search, and LLM evaluation techniques.
• Experience building APIs and microservices using Python frameworks such as FastAPI.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with containerization and deployment technologies including Docker and Kubernetes.

Responsibilities

• Design, develop, and deploy agentic AI applications using modern LLM frameworks and orchestration platforms.
• Build Retrieval-Augmented Generation (RAG) solutions leveraging enterprise data sources, vector databases, and semantic search technologies.
• Develop AI agents capable of tool calling, workflow automation, reasoning, and decision support.
• Create scalable APIs and backend services to support AI-enabled products and applications.
• Design and implement document ingestion, knowledge retrieval, embedding generation, and context management pipelines.
• Collaborate with product, engineering, and business teams to identify and deliver AI-driven solutions.
• Evaluate, test, and optimize LLM performance, response quality, latency, and reliability.
• Implement monitoring, observability, security, and governance controls for enterprise AI systems.
• Participate in architecture discussions, proof-of-concept development, and technical design reviews.
• Create and maintain technical documentation, implementation plans, and best practices for AI development.

Skills

Python

LLM deployment

RAG architectures

APIs & microservices

Cloud platforms

Docker

Kubernetes

FastAPI

Vector databases

Prompt engineering

Education

Bachelor's degree in Computer Science / related field

Tools

Docker

Kubernetes

FastAPI

LangChain

LangGraph

OpenAI

Azure OpenAI

Vector databases

Job description

CEI seeks a Senior Agentic AI Tech Lead to design, build, and deploy enterprise-grade AI agents and intelligent automation solutions. You will focus on agentic AI applications, Retrieval-Augmented Generation (RAG) systems, LLM-powered workflows, and scalable AI platforms using Python and modern AI frameworks.

The ideal candidate has hands-on experience building production AI systems, integrating LLMs, orchestrating multi-agent workflows, and deploying cloud-native applications that support