Lead AI Engineer

Georgiatek Systems Inc.; Cuiabá; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A technology solutions provider is seeking a Lead AI Engineer to design and deploy AI solutions from Brazil. This role requires strong expertise in generative AI, leadership experience, and proficiency in GCP tools. Ideal candidates will have over 6 years of experience in AI/ML engineering and the ability to lead cross-functional teams. Excellent communication skills are essential for this remote/hybrid position.

Qualificações

• 6+ years of experience in AI/ML engineering with leadership.
• Strong generative AI and RAG pipelines experience.
• Understanding of cloud-native deployment and microservices.

Responsabilidades

• Design and develop scalable ML models and solutions.
• Build end-to-end AI/ML pipelines with GCP tools.
• Mentor junior engineers and uphold AI engineering standards.

Conhecimentos

Generative AI

ML engineering

Python

GCP AI ecosystem

MLOps

APIs

Excellent communication

Formação académica

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

Ferramentas

TensorFlow

PyTorch

Scikit-learn

Kubernetes

Docker

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 : 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.