AI Specialist Engineer – Google Cloud Platform

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Job Description

AI Engineer developing Generative AI and Machine Learning solutions using Google Cloud Platform for Rox Partner. Collaborating with a team to implement intelligent applications and architectures.

Responsibilities:

  • 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.