AI Specialist Engineer – Google Cloud Platform

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Rox Partner

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Rox Partner is a Brazilian technology consultancy focused on transforming data into strategic assets and protecting organizations from cyber threats. The company offers data engineering, data management, analytics, machine learning/AI, data platform modernization, DataOps/MLOps and data literacy services alongside managed IT, SOC/managed security, pentesting and security consulting. Rox Partner serves enterprise clients across health, finance, retail, telecom, industry and other sectors, and holds certifications like ISO 27001 and partnerships with Google Cloud, AWS and Microsoft.

📋 Description

• Provide technical leadership in the development of Artificial Intelligence, Generative AI and Machine Learning solutions using Google Cloud Platform (GCP). • Design and implement applications based on Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), AI Agents, multimodal systems and intelligent assistants. • Develop AI application architectures using Vertex AI, Gemini and other Google Cloud Platform services. • Define technical standards for AI application development, promoting engineering best practices, component reuse, observability, scalability and security. • Develop data and AI processing pipelines, including ingestion, enrichment, indexing, embeddings, context retrieval and inference. • Implement solutions using vector databases, semantic search engines, embeddings and advanced information retrieval strategies. • Develop APIs, microservices and integrations between AI applications, data platforms, corporate systems and cloud services. • Work on building agent-based applications, Function Calling, Tool Use and orchestration of multiple agents. • Implement MLOps and LLMOps practices, including model versioning, monitoring, evaluation, observability, deployment automation and lifecycle management of applications. • Continuously evaluate new models, frameworks and AI technologies, proposing improvements for platform evolution. • Serve as a technical reference for the team, supporting code reviews, defining standards, troubleshooting and evolving solutions. • Collaborate with AI Architects, Data Engineers, Data Scientists, Product Owners and business areas to translate requirements into scalable solutions. • Ensure quality, performance, security and operational efficiency of developed applications.

🎯 Requirements

• Strong experience developing Artificial Intelligence and Generative AI solutions in enterprise environments. • Hands-on experience with Google Cloud Platform (GCP). • Proficiency with Vertex AI, Gemini and the Google Cloud AI ecosystem. • Experience with Large Language Models (LLMs), Prompt Engineering and Generative AI applications. • Solid knowledge of RAG (Retrieval-Augmented Generation) architectures, AI Agents, Function Calling, Tool Use and Model Context Protocol (MCP). • Experience with LangChain, LangGraph, CrewAI, LlamaIndex, Semantic Kernel, AutoGen or similar frameworks. • Experience with vector databases such as Vertex AI Vector Search, PGVector, Pinecone, Weaviate, FAISS or Milvus. • Proficient in Python for AI application development. • Experience with FastAPI, REST APIs and application integration. • Knowledge of SQL and integration with relational and NoSQL databases. • Experience with Docker, Kubernetes and containerization. • Experience with MLOps, LLMOps, Git, CI/CD and DevSecOps. • Knowledge of BigQuery, Cloud Storage, Pub/Sub, Dataflow, Cloud Run and Cloud Functions. • Ability to provide technical leadership and support other developers. • Experience with Vertex AI Agent Builder. • Experience with fine-tuning and model customization. • Knowledge of GraphRAG and graph databases. • Experience with open source models (Llama, Mistral, Qwen, DeepSeek, etc.). • Experience evaluating LLMs, implementing guardrails, observability and AI Safety. • Knowledge of multimodality (image, audio and video). • Google Cloud certifications such as Professional Machine Learning Engineer, Professional Cloud Architect or equivalent.

🏖️ Benefits

• Remote work – Monday to Friday (09:00–18:00). • iFood Benefits (meal/food voucher) — R$ 704.00 per month, cumulative, to use as you wish. The amount is credited monthly to the iFood account and we also provide a physical Elo-branded card. • Health Plan — Unimed Apartment (optional). • Life insurance. • Birthday Day Off — On your birthday, Rox gifts you a voucher and a day off to enjoy the special date. • Roxpert Blog — We encourage knowledge sharing. For every two approved and published articles on our blog, you earn an additional day off. • Courses and Development — Shared access to Hotmart (Project Documentation), Alura, A Cloud Guru, O'Reilly (books and talks) and RoxSchool. • Certifications — Reimbursement up to R$ 300.00 per certification (AWS, Azure, GCP, Databricks, Elastic, Cloudera, Oracle, Microsoft, MySQL, among others) and a R$ 300.00 bonus per certification obtained from these main platforms (subject to prior alignment with the manager). • Psychological Support — Up to two psychotherapy sessions per month covered by Rox. • Feedz — Gamified platform for tracking engagement, feedback, communication, recognition and development. • Wellhub (formerly Gympass) — Access to gyms, studios and health & wellness apps. • SESC Partnership — Access to SESC services and activities, including leisure, culture, sports, education and travel options, subject to availability and institution rules. • Work Equipment — We provide all equipment necessary to perform your duties.