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Senior Automation & AI Lead Developer

México (Remote)

Roboyo is a category shaper in Agentic Automation. We help leading brands embed autonomous, AI‑powered agents into their workflows, processes, products and services so they can scale faster and operate smarter.

Built on a strong automation heritage, we focus on seamless integration of AI into enterprise level organization, not just proving concepts, but owning outcomes and driving value in every industry we are present. At Roboyo, you’ll join a global team of builders, consultants and engineers that are top practitioners of taking solutions to the next level for clients in pursuit of excellence.

 

The AI Lead is a high-impact role responsible for architecting and delivering end-to-end AI & Agentic Automation solutions for enterprise clients.This position sits at the intersection of technical delivery, strategy, and leadership. You will act as a trusted advisor to US-based clients, translating complex requirements into scalable AI & Agentic automation solutions that drive genuine business value. Beyond delivery, you will play a pivotal role in organisational growth: building, mentoring, and upskilling a high-performing technical team to execute on the next generation of AI capabilities. If you want to stop coding, this isn’t the right fit. If you want to code AND shape how enterprises adopt AI, keep reading. 

 

KEY RESPONSIBILITIES  

  • Strategic Client Consultancy: Operate as a "Forward Deployed" lead, working directly with stakeholders to decompose ambiguous business problems into executable technical roadmaps and mitigate delivery risks. 
  • Hands-on Engineering: Actively develop, prototype, and ship production-grade solutions for Agentic AI implementations, utilising Google Vertex AI, Gemini & Open Source models, Lang eco system and Agent Development Kit (ADK) on Google Cloud Platform (GCP). 
  • Advisory for customers around competing product landscape on when to use what from Microsoft co-pilot eco system, UiPath and Lang eco system, Google and many others 
  • Solution Architecture & Integration: Design scalable RAG pipelines and secure architectures that integrate AI models into broader Hyperautomation frameworks (RPA, IDP, Low-Code, and legacy data systems). 
  • Technical Leadership & Practice Growth: Scale the AI practice by recruiting and mentoring talent, while enforcing engineering excellence through deep-dive code reviews, MLOps / LLMOps standards, MCP and methodology development. 

 REQUIREMENTS 

  • 8+ years of total software (backend) development experience, including: 
  • 4+ years of hands-on Python (AI/ML will be a plus) 
  • 4+ years of experience in a client-facing technical lead role, driving solution delivery and consulting directly with external stakeholders. 
  • Hands-on experience with the Google Cloud Platform (GCP) and Lang ecosystem, specifically Vertex AI, Gemini, and the Google Agent Development Kit (ADK). 
  • Proven track record of managing and mentoring technical teams to deliver outcomes while remaining hands-on with code. 
  • AI Depth: Strong working knowledge of LLMs, prompt engineering, embeddings, vector databases, and agent orchestration patterns (e.g., ReAct, tool-use, multi-agent) 
  • Experience with Data Integration (moving data between disparate systems using APIs, SQL) and Process Automation (platforms like UiPath/Power Platform) will be a plus. 

Benefits

  • 100% payroll + benefits by law
  • Work from home (Anywhere in México)
  • 30-day Christmas bonus
  • 16 vacation days
  • 1 economic day a year
  • Grocery coupons
  • Savings fund
  • Home office stipend
  • Major medical insurance
  • Life insurance
  • Training & certifications

 

 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Privacy Notice: By applying, you consent to the processing of your personal data for recruitment purposes in line with our Privacy Policy: https://roboyo.global/data-privacy/

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