AI & Automation Engineer: GenAI, LLMs & RPA

HP Inc.; México; On-site; MXN 600,000 - 800,000; Full time

Job summary

HP Inc. is seeking an AI & Automation Developer/Support Engineer to design and deliver cutting-edge solutions at the intersection of Agentic AI, automation, and opportunity discovery.

You will work hands-on with LLMs, agent frameworks, and automation tools while collaborating with cross-functional teams to uncover high-value use cases and deliver end-to-end intelligent solutions. The role involves leading the full development lifecycle, integrating AI with enterprise systems such as JIRA,

Qualifications

• Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, or related discipline or commensurate work experience.
• Typically has 5-7 years of work experience, preferably in programming languages or agile development.
• Experience integrating AI with enterprise tools (e.g., JIRA, Salesforce, SharePoint).

Responsibilities

• Design and develop Agentic AI systems using LLMs and multi-agent frameworks.
• Build scalable automation solutions to streamline manual processes.
• Identify opportunities for AI and automation with stakeholders.
• Integrate AI-driven solutions with enterprise systems via APIs and cloud platforms.
• Lead the full development lifecycle from concept to deployment and optimization.
• Translate complex requirements into scalable technical architectures.
• Stay current on GenAI and intelligent automation advancements.

Skills

Python

GenAI

LLM

Agent frameworks

RPA

NLP

Cloud platforms

Agile

JavaScript/TypeScript

Enterprise tool integration

PyTorch

TensorFlow

Scikit-learn

Education

Bachelor's degree in CS/related field

5-7 years of professional experience

Cloud platforms experience

Job description

HP Inc. is seeking an AI & Automation Developer/Support Engineer to design and deliver cutting-edge solutions at the intersection of Agentic AI, automation, and opportunity discovery.

You will work hands-on with LLMs, agent frameworks, and automation tools while collaborating with cross-functional teams to uncover high-value use cases and deliver end-to-end intelligent solutions. The role involves leading the full development lifecycle, integrating AI with enterprise systems such as JIRA,