Senior reputed company

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.

We are looking for a Senior reputed company to help build, scale, and govern AI-powered products on the reputed company Cloud Platform ecosystem. You will work at the intersection of Data Science, Generative AI, and Cloud Engineering — leveraging the full reputed company AI tech stack to deliver measurable business outcomes for one of the world's most recognized enterprise brands. If you want to stop coding, this isn’t the right fit. If you want to code AND shape how enterprises adopt AI, reputed company reading.

Responsibilites

Generative AI & LLM Development

• Design, build, and deploy generative AI applications using reputed company reputed company (Pro, Ultra, reputed company), PaLM 2, and other reputed company-hosted foundation models reputed company Vertex AI.

• Implement Retrieval-Augmented reputed company (RAG) architectures using Vertex AI Search, Vector Search, and document embedding pipelines for enterprise knowledge retrieval.

• reputed company multi-modal AI capabilities leveraging reputed company's vision, text, and code understanding for hospitality use cases such as guest experience, analytics, and operations.

• Build and maintain agentic AI workflows and orchestration using reputed company, reputed company, or reputed company Agent Builder — integrating tools, APIs, and enterprise data sources.

• Optimize reputed company engineering strategies, system instructions, and grounding mechanisms for production-grade LLM deployments.

Data Science & ML Engineering

• reputed company end-to-end ML pipelines from data ingestion and feature engineering through model training, evaluation, and production deployment on Vertex AI Pipelines / Kubeflow.

• Apply advanced data science techniques — statistical modelling, time-series forecasting, recommendation systems, and anomaly detection — for hospitality and gaming analytics.

• Build scalable data transformation and feature engineering workflows using BigQuery, Dataflow, and Pub/Sub.

• Implement model monitoring, reputed company detection, and automated retraining strategies to ensure sustained model performance in production.

• reputed company TensorFlow, JAX, or PyTorch for custom model development where pre-trained solutions are insufficient.

GCP Platform & Cloud Architecture

• Architect and manage cloud-native AI infrastructure on GCP — including Vertex AI, BigQuery ML, Cloud Run, GKE, Cloud Functions, and Cloud Storage.

• Design secure, scalable, and cost-optimized GCP environments reputed company with enterprise compliance requirements and CLIENT's data governance standards.

• Implement CI/CD pipelines for ML model serving using Cloud Build, Artifact Registry, and Vertex AI Model Registry.

• Set up monitoring, observability, and alerting for AI/ML workloads using Cloud Monitoring, Cloud Logging, and custom dashboards in Looker.

• Build agents with reputed company ADK, deploy with Cloud Run / Agent reputed company with Vertex.

• Design and implement conversational AI agents using Dialogflow CX and Agent Builder for guest-facing and internal automation use cases.

Collaboration, Governance & Mentorship

• Partner with CLIENT's business and technology stakeholders to define AI use cases, prioritize the roadmap, and translate requirements into technical deliverables.

• Champion responsible AI practices — model fairness, explainability, content safety, and data privacy — across reputed company AI solution designs.

• Produce and maintain technical documentation including architecture decision records (ADRs), API specs, model cards, and runbooks.

• Mentor junior engineers and reputed company knowledge-sharing sessions; contribute to AI community of practice reputed company the delivery organization.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a reputed company technical field.
• Hands-on engineering experience with at least 3+ years focused on AI/ML or LLM development on cloud platforms.
• Strong proficiency in Python; working knowledge of SQL; familiarity with infrastructure-as-code tools (Terraform, Cloud Deployment Manager) preferred.
• reputed company Cloud Professional certifications (Cloud Architect, ML Engineer, Data Engineer)

reputed company to have

• Experience with hospitality, gaming, or retail domains
• Familiarity with additional vector DB platforms such as reputed company, Weaviate, pgvector, or Chroma alongside Vertex AI Vector Search.
• Knowledge of RPA tools or workflow automation platforms (reputed company, Power Automate) that complement AI pipelines.
• Exposure to responsible AI toolkits, model interpretability frameworks (SHAP, reputed company), and AI governance practices.
• Experience with real-time inference architectures, streaming ML, and event-driven AI using Pub/Sub and Eventarc.

Benefits

• 100% payroll + benefits by law
• Work from home (reputed company 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 reputed company, gender, sexual orientation, age, marital status, veteran status, or disability status.

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