AI Platform Engineer – Conversational AI & Data Pipelines

Empa-T

Lisboa

Híbrido

EUR 65 000 - 90 000

Tempo integral

Há 8 dias

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Resumo da oferta

Empa-T is seeking an AI Platform Engineer to join a multinational project in Banking/Insurance, building and maintaining a Conversational AI Platform. You will contribute to cloud-native, secure AI services, data pipelines, and RAG-based tools across countries.

The role involves collaborating with Tech Leads, Product Owners, and Data & AI teams to translate business needs into scalable technical solutions, while ensuring platform reliability and security in a hybrid Lisbon environment.

Qualificações

5+ years of experience in software development or platform engineering.
Strong programming skills in Python.
Experience with API development and API management.
Experience with Data & AI pipelines.
Hands-on experience with orchestration tools such as Airflow.
Experience with data preparation, indexing, or search technologies such as Elasticsearch.
Knowledge of RAG concepts and Conversational AI platforms.
Experience with API Management tools such as Apigee or similar.
Experience with DevOps and CI/CD tools.
Knowledge of security best practices and secure development principles.
Understanding of the data lifecycle and how user feedback can drive continuous improvement.
Experience working in complex, international, distributed, and highly secured cloud environments.
Ability to troubleshoot technical issues and ensure application stability and performance.
Experience with scripting and automation, such as Shell scripting, is a plus.
Experience designing or developing applications based on microservices architecture is a plus.
Fluency in English.

Responsabilidades

Contribute to the run and change activities of a Conversational AI Platform.
Support the onboarding of new AI use cases across different countries and business areas.
Work closely with Tech Leads, Product Owners, Business Analysts, and Data & AI teams to understand business needs and translate them into technical solutions.
Develop and support APIs, RAG-based components, data pipelines, and data preparation processes.
Build and maintain data pipelines using orchestration tools such as Airflow.
Support data preparation and indexing activities using technologies such as Elasticsearch.
Contribute to the integration of new AI tools, bot providers, and platform capabilities.
Create and manage environments for new use cases and support their deployment.
Draft technical playbooks and documentation to accelerate onboarding and deployment processes.
Monitor existing bots and follow up on incidents, ensuring stability, performance, and continuous improvement.
Collaborate with DevOps, MLOps, AIOps, Data, QA, and Security teams to ensure smooth integration and delivery.
Participate in Agile ceremonies such as sprint planning, backlog reviews, daily stand-ups, sprint reviews, and retrospectives.
Troubleshoot complex technical issues and propose solutions to improve platform reliability.
Identify technical debt and contribute to plans for remediation and platform optimization.
Support vulnerability management and ensure security best practices at application, dependency, and infrastructure levels.