Principal Software Engineer – Agentic AI

Jobverse.io; Chicago (IL); On-site; USD 210,000 - 320,000; Full time

Job summary

Jobverse.io in Chicago is seeking a principal-level AI engineering leader to design and deliver scalable agentic AI systems, including multi-agent workflows, foundation model integrations, and RAG solutions. You will establish architecture, testing, security, and governance standards while guiding best practices across the engineering org.

You will lead and mentor teams, drive improvements in development processes, and collaborate across Scrum ceremonies, code reviews, and architecture forums to

Qualifications

• Principal-level technical leadership in agentic AI, multi-agent frameworks, and LLM integrations.
• Experience in RAG, secure and scalable architectures, and engineering governance.
• Mentor and develop engineering teams across product and engineering stakeholders.
• Collaborate across Scrum ceremonies, code reviews, architecture forums, and cross-functional groups.
• Evaluate AI outputs and ensure robust testing and quality standards.

Responsibilities

• Design and deliver scalable agentic AI systems and workflows.
• Lead and mentor engineering teams and improve development practices.
• Integrate foundation models and RAG solutions across platforms.
• Establish architecture, testing, security, and governance standards.
• Collaborate with product and engineering teams in Agile ceremonies and reviews.

Skills

Agentic AI

Multi-Agent Workflows

LLM Integration

LangChain

LangGraph

AutoGen

CrewAI

Retrieval-Augmented Generation

Vector Databases

AI Evaluation and Testing

Software Architecture

Engineering Leadership

AI Governance

Secure Software Development

Cloud-Native Deployment

Mentoring

Job description

Design and deliver scalable agentic AI systems, including multi-agent workflows, foundation model integrations, and RAG solutions, while establishing architecture, testing, security, and governance standards. Lead and mentor engineering teams, improve systems and development practices, and collaborate across Scrum ceremonies, code reviews, architecture forums, and other teams.

Requirements:

The role calls for principal-level technical leadership and expertise in agentic AI, multi-agent frameworks, LLM integrations, RAG, and AI output evaluation. It also requires strength in secure and scalable architecture, engineering governance, team mentorship, and collaboration across product and engineering teams.

Key Skills:

Agentic AI, Multi-Agent Workflows, Large Language Model Integration, LangChain, LangGraph, AutoGen, CrewAI, Retrieval-Augmented Generation, Vector Databases, AI Evaluation and Testing, Software Architecture, Engineering Leadership, AI Governance, Secure Software Development, Cloud-Native Deployment, Mentoring