Agent Engineer (Agentic AI / LLM Systems)

Veriipro; Palo Alto (CA); On-site; USD 100,000 - 140,000; Full time

Job summary

Veriipro is seeking an Agent Engineer in California to help design and deliver next-generation AI-powered workflows. This role entails building autonomous systems using LLMs and integrating workflows across enterprise tools.

The ideal candidate will require a Computer Science degree and strong programming skills in Python. Responsibilities include developing agent workflows and evaluation frameworks, as well as monitoring solutions through production.

Qualifications

• Bachelor’s or Master’s in Computer Science, Data Science, or related field.
• Strong programming experience, especially with Python.
• Experience building LLM-based applications or workflow automation systems.

Responsibilities

• Design and implement agent-based systems using LLMs and tools.
• Build workflows across enterprise systems via APIs and services.
• Own solutions from prototype to production deployment.

Skills

Programming in Python

Agentic System Design

Workflow Orchestration

Applied Generative AI

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

LangChain

Semantic Kernel

Job description

The Opportunity

We are seeking an Agent Engineer to help build the next generation of AI-powered workflows and intelligent systems. You will design and deploy agentic solutions that can reason, plan, and take action across enterprise tools—unlocking new levels of automation and productivity.

Role Summary

Design and deliver agentic AI systems that operate across enterprise workflows. This role focuses on building autonomous and semi-autonomous systems using LLMs, including tool orchestration, memory, and multi-step decisioning.

What You’ll Do

• Design and implement agent-based systems using LLMs, tools, memory, and planning (including orchestration and multi-step workflows)
• Build and integrate agent workflows across enterprise systems via APIs and services
• Develop RAG pipelines where applicable to support agent reasoning
• Implement human-in-the-loop patterns for safety, review, and escalation
• Define and operationalize evaluation frameworks (accuracy, reliability, task success)
• Own solutions from prototype through production deployment and monitoring
• Partner cross-functionally to deliver scalable, secure, and high-impact solutions

Qualifications

Required:

• Bachelor’s or Master’s in Computer Science, Data Science, or related field (or equivalent experience)
• Strong programming experience (Python required)
• Experience building LLM-based applications or workflow automation systems

Preferred:

• Experience with agent frameworks (e.g., LangChain, Semantic Kernel)
• Familiarity with RAG, vector databases, and evaluation techniques
• Experience designing multi-step or tool-augmented workflows

Core Competencies

• Agentic System Design
• Applied Generative AI
• Workflow Orchestration
• Evaluation & Reliability
• Software Engineering Excellence
• Cross-Functional Collaboration