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Senior Python AI Engineer

Open 28d

Alongside partners with organizations to drive digital transformation and build high-performing tech teams.

We are looking for a Senior Python AI Engineer to join a project at a company specializing in financial market operations.

Responsabilities:

  • Design and develop intelligent automation solutions using the Dataiku platform.
  • Architect and implement automated workflows integrating data pipelines, application systems, and AI agents.
  • Leverage Dataiku LLM Mesh to integrate Generative AI and Large Language Models (LLMs) into business processes.
  • Develop and orchestrate Agentic AI solutions to automate and optimize operational workflows.
  • Build, maintain, and industrialize automation pipelines following best practices in version control, monitoring, CI/CD, and governance.
  • Integrate automation solutions with enterprise applications through APIs and services.
  • Collaborate with cross-functional IT teams to define integration standards and ensure seamless system connectivity.
  • Contribute to the evolution of the Smart Automation & Agentic AI framework by defining architecture standards and promoting best practices.
  • Mentor junior team members and provide technical leadership across automation initiatives.

Requirements

  • 10+ years of experience in software development, process automation, data engineering, or related fields.
  • Proven experience delivering enterprise-scale automation solutions.
  • Experience with Dataiku or similar AI/Data platforms (e.g. Databricks, Dataiku, DataRobot, Dataiku DSS, Azure AI Foundry, Vertex AI) is a plus.
  • Solid understanding of Agentic AI concepts and AI-driven automation.
  • Advanced Python programming skills.
  • Experience with API integration, workflow orchestration, and automated process design.
  • Knowledge of Git, CI/CD pipelines, DevOps practices, and deployment automation.
  • Experience working in cloud environments such as AWS, Azure, or GCP.
  • Excellent communication skills and fluency in English.

Benefits

  • Opportunity to work on cutting-edge Smart Automation and Agentic AI initiatives.
  • Exposure to innovative technologies, including Generative AI, LLMs, and intelligent automation platforms.
  • Collaborative and international work environment.
  • Opportunity to influence and shape the future of the Smart Automation capability.
  • Work with highly skilled, multidisciplinary teams in a fast-paced environment.
  • Hybrid: Porto Office
  • Salary range: 50k – 70k per year

What this application asks

workable

First name, Last name, Email, Headline, Phone, Address, Photo, Education, Experience, Summary, Resume, Cover letter

  • 10+ years of experience in software development, process automation, data engineering, or related fields. yes / no
  • Could you share an overview of your experience in software development, process automation, data engineering, or related fields? Approximately how many years have you worked in these areas, and what types of projects have you been involved with? written answer
  • Can you describe a project where you delivered an automation solution at an enterprise scale? What was your role, and what were some of the key challenges and outcomes? written answer
  • Proven experience delivering enterprise-scale automation solutions. yes / no
  • Mandatory Dataiku certification (Developer or Advanced Developer). yes / no
  • Do you hold a Dataiku Developer or Advanced Developer certification? yes / no
  • Strong expertise in the Dataiku platform, including workflow automation, data pipelines, orchestration, and system integrations. yes / no
  • What is your proficiency level in English? choose one
  • Hands-on experience with Dataiku LLM Mesh and integrating LLMs into automated workflows. yes / no
  • Solid understanding of Agentic AI concepts and AI-driven automation. yes / no
  • Advanced Python programming skills. yes / no
  • Experience with API integration, workflow orchestration, and automated process design. yes / no
  • Knowledge of Git, CI/CD pipelines, DevOps practices, and deployment automation. yes / no
  • Experience working in cloud environments such as AWS, Azure, or GCP. yes / no
  • Excellent communication skills and fluency in English. yes / no

See also

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