Senior AI Agent Engineer

Veriipro; Palo Alto (CA); On-site; USD 120,000 - 210,000; Full time

Job summary

Veriipro seeks an Agent Engineer to build AI-powered workflows and intelligent systems. You will design and deploy agentic solutions that can reason, plan, and take action across enterprise tools to boost automation and productivity.

You will design agent-based systems with LLMs, tools, memory and planning; integrate workflows across enterprise systems via APIs; develop RAG pipelines and human-in-the-loop safeguards; own solutions from prototype to production with scalable, secure delivery.

Qualifications

• Bachelor’s or Master’s in CS, DS, or related field (or equivalent experience).

Responsibilities

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

Skills

Python programming

LLM-based apps

AI/ML integration

Education

Bachelor’s or Master’s in CS/DS or related

Tools

LangChain

Semantic Kernel

Job description

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

Responsibilities:

• 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 focusing on accuracy, reliability, and task success.
• Own solutions from prototype through production deployment and monitoring.
• Partner cross-functionally to deliver scalable, secure, and high-impact solutions.

Mandatory Skills:

• Strong programming experience in Python.
• Experience building LLM-based applications or workflow automation systems.
• Proficiency in AI and ML integration.

Preferred Skills:

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

Qualifications:

• Bachelor's or Master's in Computer Science, Data Science, or a related field (or equivalent experience).

Core Competencies:

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