AI python platform engineer for conversational systems

We are growing. And we are looking for talented people! At Decskill, we believe that technological excellence is driven by human talent. We are an IT consulting company with more than 10 years of consolidated experience in the market, focused on building long-term relationships with both our clients and our people. Today, we are a community of over 800 professionals, working from Lisbon, Porto, and Madrid, contributing to impactful technology initiatives. We are looking for an AI Python Platform Engineer!

• Develop and maintain Conversational AI solutions as part of the Conversational AI Platform (CAP).
• Support both run and change activities related to the platform.
• Work closely with Tech Leads, Product Owners, Business Analysts, and cross-functional teams in an Agile environment.
• Participate in Agile ceremonies, including sprint planning, backlog refinement, daily stand-ups, sprint reviews, and retrospectives.
• Develop and maintain APIs and AI-driven solutions.
• Build and maintain data pipelines using Airflow.
• Prepare and manage data using Elasticsearch.
• Onboard new countries and use cases onto the Conversational AI Platform.
• Provide technical support, create environments, and monitor existing conversational bots.
• Develop playbooks and best practices to accelerate onboarding and deployment of new use cases.
• Monitor applications and resolve incidents to ensure platform stability and performance.
• Collaborate with DevOps, MLOps, AIOps, Data, QA, and Security teams to ensure seamless integration and delivery.
• Integrate new AI tools and technologies into the platform.
• Troubleshoot complex technical issues and implement sustainable solutions.
• Identify, prioritize, and help reduce technical debt.
• Monitor and remediate application, dependency, and security vulnerabilities.

• Minimum 5 years of experience in software development.
• Strong proficiency in Python.
• Experience with API Management (e.g., Apigee).
• Experience developing Data & AI pipelines.
• Experience with data engineering and workflow orchestration tools such as Airflow.
• Experience with Elasticsearch for data preparation and search capabilities.
• Knowledge of the data lifecycle and continuous improvement based on user feedback.
• Experience with DevOps tools such as Jenkins, GitLab CI/CD, and Argo CD.
• Experience working with Agile software development methodologies.
• Knowledge of security best practices.
• Understanding of Data, AI, DevSecOps, AIOps, and Private Cloud technologies and industry trends.
• Experience with Shell scripting and automation.
• Будет плюсом: Experience designing and developing microservices-based applications; Experience working with Conversational AI, RAG (Retrieval-Augmented Generation), and AI platforms; Professional proficiency in English

• Long-term projects with national and international context.
• Opportunities to grow technically and professionally.
• A people-first culture, focused on transparency and trust.
• Teams that value ownership, collaboration and stability.