Conversational Agent Ai Platform Engineer (Hybrid)
Job Summary
CONVERSATIONAL AGENT AI PLATFORM ENGINEER(HYBRID LISBON)
Portuguese company hires for hybrid position
Location: Lisbon Portugal
Only candidates already based in Portugal will be considered
Work Model: Hybrid
Language Requirements: English (Professional mandatory)
Seniority: Senior (5 years)
Sector: Banking
Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success
About the Opportunity
Join a leading international financial services organizationaccelerating its Artificial Intelligence transformation.
Within a strategic Data & AI Tribe you will contributeto the evolution of a Conversational AI Platform (CAP) a cloud-nativeenterprise-grade solution delivering scalable and secure RAG-based(Retrieval-Augmented Generation) conversational services across more than 30countries.
This platform enables business units to deploy AI-poweredbots bundled with secure digital widgets enhancing customer and partnerengagement while operating in a highly secure distributed cloud environment.
Your Mission
As a Conversational Agent AI Platform Engineer you willsupport both RUN and CHANGE activities related to the Conversational AIPlatform and its use cases.
You will:
Develop and administer Conversational AI use cases
Support onboarding of new countries and new use cases
Draft playbooks to scale and accelerate deployments
Monitor troubleshoot and follow up on incidents affectinglive bots
Contribute to environment setup and technical support
Participate in all Agile ceremonies
Collaborate closely with Tech Leads Product Owner BusinessAnalysts and cross-functional teams
Support continuous improvement technical debt reductionand vulnerability remediation
Technical Expertise Required
Core Skills
Python (strong proficiency required)
JavaScript
Web Services & API Management (contract-first APIGEE orsimilar)
RAG architecture & Document ingestion pipelines
Data pipeline development (Airflow)
Data preparation with Elasticsearch (vector databaseexposure)
Event-Driven Architecture
Cloud-native technologies (Docker Kubernetes Helm)
DevSecOps & CI/CD (Jenkins GitLab CI/CD Argo CD)
Knowledge of cybersecurity best practices
Agile methodologies
Nice to Have
Generative AI exposure
Shell scripting & automation
Microservices architecture design
Experience in Private Cloud environments
Collaboration & Impact
You will work alongside DevOps MLOps AIOps Data QASecurity and Architecture teams to ensure seamless delivery of AI-drivencapabilities.
This role requires:
Strong troubleshooting andproblem-solving skills
Understanding of the datalifecycle
Ability to manage change inevolving AI environments
Excellent written and verbalcommunication
High attention to detail andstructured approach
Why Apply
Be part of a large-scale enterprise AI platform initiative
Work with cutting-edge Conversational AI & RAGarchitectures
Contribute to AI deployments across 30 countries
Exposure to Cloud DevSecOps and Data engineeringecosystems
Hybrid model in Lisbon within a strategic transformationprogram
If you are passionate about AI platforms scalable cloudsolutions and enterprise-grade Conversational Agents this role offers strongtechnical exposure and international impact.
Keywords for CV
Conversational AI RAG Generative AI Python JavaScriptAPI Management APIGEE Airflow Data Pipelines Elasticsearch VectorDatabase Event-Driven Architecture Cloud Native Docker Kubernetes HelmDevSecOps Jenkins GitLab CI/CD Argo CD Microservices Cybersecurity AgileAI Platform Bot Deployment
#CI - PROC26112
Required Experience:
Unclear Seniority
Key Skills
- Computer Science
- Continuous Integration
- Fraud
- Intake Experience
- Law Enforcement
- Usability
- Analysis Skills
- Computer Forensics
- Driving
- Teaching
- Counterintelligence
- Sass