We are looking for an AI Engineer to join a team building next-generation Artificial Intelligence capabilities focused on AI Agents, MCP Servers, Orchestration Platforms, Enterprise Integrations, Knowledge Retrieval, Automation Workflows, and Conversational Interfaces.
This is an exciting opportunity to work on a strategic AI platform designed to deliver scalable, secure, and modular AI services across enterprise applications and business functions.
Location: Lisbon, Portugal
Work Model: Hybrid (2 days per week onsite)
About the Project The team is building an enterprise AI platform that integrates with core business systems and provides reusable AI services for internal users and business applications.
The platform includes
- AI Agents
- MCP Servers
- Retrieval-Augmented Generation (RAG)
- AI Orchestration Services
- Conversational Interfaces
- Enterprise Integrations
- Knowledge Retrieval Services
- Event-Driven Workflows
The goal is to create a secure, scalable, and modular architecture capable of supporting future AI-driven business initiatives.
Your Mission
As an AI Engineer, you will be responsible for designing and developing components that enable:
- Interactions between AI Agents
- MCP Server capabilities
- Enterprise tool integrations
- Orchestration services
- Event-driven APIs and workflows
- Secure access to enterprise data and services
Key Responsibilities
AI Platform & MCP Development
- Develop and maintain MCP Servers and AI Platform services
- Build integrations between AI Agents and enterprise applications
- Design modular APIs and service orchestration layers
- Implement tool connectors and structured action frameworks
- Develop context management and context retrieval services
- Contribute to the evolution of the platform architecture
Backend Engineering
- Build scalable backend services using Java and/or Python
- Design asynchronous and event-driven architectures
- Integrate APIs, Kafka, databases, and cloud services
- Optimize performance, observability, and reliability
AI Engineering
- Integrate LLMs into enterprise workflows
- Work with RAG pipelines, embeddings, and vector databases
- Improve context management and agent orchestration capabilities
- Contribute to AI governance and secure AI implementation practices
Software Engineering Excellence
- Apply modern engineering practices and standards
- Implement CI/CD pipelines and automated testing
- Work with trunk-based development methodologies
- Participate in architecture and technical design discussions
- Support production operations and continuous improvement initiatives
Mandatory Requirements
Technical Skills
- Strong experience with Java
- Experience with Python (highly valued)
- Experience building backend APIs and distributed systems
- Strong understanding of REST APIs
- Experience with asynchronous and event-driven architectures
- Experience with Kafka or similar messaging platforms
- Experience developing cloud-native applications
- Experience with Docker and Kubernetes
- Experience with CI/CD pipelines
- Professional English communication skills
AI & Modern Platform Engineering
Experience with some of the following:
- AI Agents
- MCP Servers
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- LLM Integration Frameworks
- AI Orchestration Frameworks
- Prompt Engineering
- AI Tool Integrations
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