Agentic AI Engineer

Conch Technologies • Memphis, NJ

16h • Onsite

About The Position

The Agentic AI Engineer will design and implement intelligent agents and orchestrations to automate operations, runbooks, and self-healing systems. The role integrates AI agents with the Dynatrace Intelligence platform, using Grail data lakes and Smartscape dependency mapping to provide real-time context. It also involves architecting and optimizing advanced RAG pipelines and multi-agent collaboration frameworks.

The engineer will use Dynatrace AI Observability to track interactions, trace executions, and audit prompts to monitor performance and costs. They will establish approval mechanisms, fallback strategies, and human-in-the-loop controls for secure and compliant autonomous operations, and collaborate with SRE, development, and operations teams to turn operational pain points into deployed AI solutions.

Requirements

• 8–10 years of experience.
• Proficiency in Python and modern orchestration frameworks such as LangGraph or AutoGen.
• Strong understanding of, or ability to quickly learn, the Dynatrace platform, including OneAgent, Davis deterministic AI, and Dynatrace API/SDK.
• Familiarity with CI/CD pipelines, MLOps, and monitoring Kubernetes or microservices environments.
• Strong reasoning skills and ability to balance stochastic (GenAI) and deterministic (data/logic) decision-making in agentic systems.

Responsibilities

• Design and implement intelligent agents and orchestrations, using frameworks such as LangChain or LangGraph, to automate operations, runbooks, and self-healing systems.
• Integrate AI agents with the Dynatrace Intelligence platform, leveraging Grail data lakes and Smartscape dependency mapping for real-time context.
• Architect and optimize advanced RAG pipelines and multi-agent collaboration frameworks.
• Use the Dynatrace AI Observability app to track interactions, trace executions, and audit prompts to monitor performance and costs.
• Establish approval mechanisms, fallback strategies, and human-in-the-loop controls to support secure and compliant autonomous operations.
• Collaborate with SREs, developers, and operations teams to turn operational pain points into deployed AI solutions.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed