Lead Ai Engineer

GeorgiaTEK Systems Inc.; Porto Alegre; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading technology company is seeking a highly skilled Lead AI Engineer based in Brazil to design, develop, and deploy scalable AI and machine learning solutions. The ideal candidate will have expertise in Generative AI and RAG architectures, with a focus on using the Google Cloud Platform. This role involves leading engineering initiatives and collaborating across teams to drive innovation in intelligent automation.

Qualificações

• 6+ years of professional experience in AI/ML engineering, including leadership responsibilities.
• Strong hands-on experience with Generative AI and RAG pipelines.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).

Responsabilidades

• Lead the design and development of scalable ML models and AI/ML pipelines.
• Develop intelligent agents and orchestration using specified tools.
• Own technical architecture, solution design, and performance optimization.

Conhecimentos

Generative AI

RAG architectures

LLMs

Google Cloud Platform (GCP)

Python

TensorFlow

PyTorch

Scikit-learn

MLOps

LangChain

LangGraph

CrewAI

Formação académica

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering

Ferramentas

Vertex AI

Gemini

Vector Search

AI Studio/AI APIs

Google ADK

Descrição da oferta de emprego

Lead AI Engineer (3 Positions)

Location: Brazil (Remote / Hybrid based on project needs)

Role Overview

We are seeking highly skilled Lead AI Engineers based in Brazil to design, develop, and deploy scalable AI and machine learning solutions across enterprise systems. The ideal candidates will have strong expertise in Generative AI, RAG architectures, LLMs, and hands‑on experience with the Google Cloud Platform (GCP) AI ecosystem. You will lead AI engineering initiatives, collaborate with cross‑functional teams, and drive innovation in intelligent automation, personalization, and data‑driven decision‑making.

Key Responsibilities

• Lead the design and development of scalable ML models, Generative AI, and RAG‑based solutions; build end‑to‑end AI/ML pipelines using GCP tools such as Vertex AI, Gemini, Vector Search, and Managed Notebooks.
• Develop intelligent agents and orchestration using LangChain, LangGraph, Google ADK, and CrewAI.
• Build, fine‑tune, and deploy custom LLMs and multimodal AI models.
• Own technical architecture, solution design, performance optimization, and deployment strategies.
• Partner with data engineers, cloud teams, and product stakeholders to integrate AI at scale.
• Implement MLOps best practices for versioning, monitoring, retraining, and governance.
• Mentor junior engineers and contribute to AI engineering standards and frameworks.

Required Skills & Experience

6+ years of professional experience in AI/ML engineering, including leadership responsibilities. Strong hands‑on experience with Generative AI and RAG pipelines. Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit‑learn). Deep expertise in the GCP AI/ML stack, including Vertex AI, Gemini, Vector Search, AI Studio/AI APIs. Strong experience with agent‑oriented frameworks: LangChain, LangGraph, CrewAI, Google ADK. Experience deploying ML models into production using CI/CD and MLOps. Strong understanding of APIs, data engineering fundamentals, cloud‑native deployment, and microservices. Excellent communication and ability to lead technical discussions with global teams.

Preferred Skills (Nice to Have)

• Experience with multi‑agent systems and advanced tool orchestration.
• Knowledge of Kubernetes, Docker, and cloud‑native architectures.
• Understanding of AI security, compliance, and responsible AI frameworks.
• Experience working in global, distributed engineering teams.

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.