GFT Technologies SE

AI Engineer Senior | Hybrid/SP - 136140

PythonGCPDockerKubernetesTerraform
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What We're Looking For

We are looking for a Senior AI Engineer / Specialist to design, develop, and operate Generative Artificial Intelligence solutions on the Google Cloud Platform (GCP).

The professional will work with Vertex AI, Gemini, Agent Engine, and agent-oriented architectures (Agentic AI), contributing from architecture design and development to the operation, observability, and governance of corporate AI solutions.

Responsibilities

  1. Design and develop AI agents using Vertex AI (Agent Platform), Gemini, and Agent Engine;
  1. Implement multi-agent architectures and solutions based on frameworks like ADK;
  1. Build integrations with corporate systems, APIs, and cloud services;
  1. Develop data pipelines and RAG (Retrieval-Augmented Generation) solutions;
  1. Define observability, monitoring, and agent governance strategies;
  1. Participate in discovery sessions, architecture definition, and technical workshops;
  1. Support pre-sales activities and corporate AI solution design;
  1. Create technical documentation and architecture standards;
  1. Develop and operate Generative Artificial Intelligence solutions on GCP;
  1. Work with DevOps, CI/CD, and software engineering practices;
  1. Contribute to the implementation of scalable, integrated solutions prepared for corporate environments.

Required Qualifications

  1. Solid experience with Google Cloud Platform (GCP);
  1. Experience with Vertex AI;
  1. Knowledge of Gemini models;
  1. Experience with Python development;
  1. Experience with REST APIs;
  1. Knowledge of containers, Docker, and Kubernetes;
  1. Experience with relational and NoSQL databases;
  1. Experience with Git, CI/CD, and DevOps practices.

Preferred Qualifications

  1. Experience with ADK (Agent Development Kit);
  1. Experience with Vertex AI Agent Engine;
  1. Knowledge in Vector Search;
  1. Experience with LangChain, LangGraph, or Semantic Kernel;
  1. Knowledge in BigQuery, Cloud Run, GKE, Cloud Functions, Pub/Sub, and Dataflow;
  1. Experience with Terraform;
  1. Knowledge in observability using Cloud Logging and Cloud Monitoring;
  1. Experience in regulated sectors, such as Finance, Energy, or Healthcare;
  1. Google Cloud certifications;
  1. Experience with Gemini Enterprise;
  1. Experience in production Generative AI projects;
  1. Experience with multi-agent architectures;
  1. Knowledge in corporate agent governance;
  1. Knowledge in model evaluation and quality metrics, including Vertex AI Evaluation.

Behavioral Competencies

  1. Architectural vision and ability to work on complex AI projects;
  1. Communication skills with technical and business areas;
  1. Consultative profile for participation in discovery sessions and workshops;
  1. Ability to work collaboratively with multidisciplinary teams;
  1. Autonomy to design and implement solutions.

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