AI Engineer, Agentic Systems and RAG

Job overview

The AI Engineer, Agentic Systems and RAG role is onsite in Scottsdale, AZ. Compensation is not specified. The role designs, builds, and operates AI/ML infrastructure and agentic systems. The engineer develops MCP servers and agents, integrates large language models, and builds retrieval-augmented generation pipelines for production. The work also supports reliable, observable, secure, and cost-efficient deployment of AI workloads on Kubernetes and Google Cloud.

What you'll do

• Design, build, and operate MCP servers and agents
• develop agentic AI, prompt patterns, LLM integrations, and developer tools
• deploy and scale services on Kubernetes, Docker, and Google Cloud with CI/CD
• implement RAG pipelines and vector-store integrations
• maintain APIs and SDKs
• design agent workflows and safety guards
• build prompt evaluation and debugging tools
• instrument observability and create runbooks and incident-response procedures.

What we're looking for

Skills & competencies

ai engineer

agentic systems

rag

mcp servers

llms

python

node.js

langchain

langfuse

kubernetes

docker

google cloud

scottsdale az

Work arrangement

• Weekend coverage required

Why this role

The posting requests experience with Python or Node.js, LLMs, prompt engineering, agent frameworks, RAG, LangChain, Langfuse or similar telemetry, Kubernetes, Docker, CI/CD, infrastructure as code, Google Cloud, and distributed-systems observability, testing, and security.

About the employer

TechDigital Corporation is hiring for this role. Industry: Computer Systems Design Services. Sector: 54.