Principal AI Engineer - Agentic Systems for Enterprise

InfoMagnus, LLC; Huntington Beach (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

InfoMagnus, LLC is seeking a Principal AI Engineer to lead the design and delivery of agentic AI systems for enterprise clients. You will blend hands-on engineering with architecture, mentoring, and strategic guidance to transform software delivery and business processes.

You will drive production-grade AI agents, multi-agent architectures, and evaluation loops while shaping best practices and governance across engagements. This is a hands-on leadership role with client-facing impact.

Qualifications

• 8+ years in software engineering, architecture, and technical leadership.
• Hands-on experience delivering LLM-powered or agentic applications beyond proof-of-concept.
• Experience with coding agents, autonomous workflows, evaluation loops, or multi-agent orchestration.
• Strong understanding of cloud-native development, distributed systems, APIs, CI/CD, and automated testing.
• Ability to lead technical conversations, architecture decisions, and engineering teams.

Responsibilities

• Design and implement agentic software engineering workflows across the SDLC.
• Build production-grade AI agents and multi-agent systems integrated with enterprise platforms.
• Architect orchestration frameworks including dependency-driven workflows, evaluation loops, and autonomous task execution.
• Extend coding-agent platforms through custom tools, MCP integrations, APIs, SDKs, skills, and automation.
• Lead AI maturity assessments, workshops, and enablement programs.
• Build observability, governance, security, and evaluation frameworks into every solution.
• Mentor engineers and help establish reusable agentic engineering practices.

Skills

Python

TypeScript

Java

C#/.NET

Technical leadership

Architectural design

Tools

LLM-powered applications

Agentic workflows

Cloud-native

Job description

InfoMagnus, LLC is seeking a Principal AI Engineer to lead the design and delivery of agentic AI systems for enterprise clients. You will blend hands-on engineering with architecture, mentoring, and strategic guidance to transform software delivery and business processes.

You will drive production-grade AI agents, multi-agent architectures, and evaluation loops while shaping best practices and governance across engagements. This is a hands-on leadership role with client-facing impact.