- Industry : Computer Software
- Employment Type : Full-Time
- Location : 1 Praça José Queirós, 1800-237 Lisboa
- Country : Portugal
- Published on : 28/05/2026
- Remote Type : None (Fully On site)
- Contract Type : Consultant
- Start Date : ASAP
- Location : Pictet Technologies Portugal
- Department : Development Teams
- Updated On : 11/08/2026
Company presentation
With our presence in Geneva, Luxembourg and Lisbon, we are the Pictet’s dedicated technology partner. We serve the Group exclusively with our experts, developers and engineers from around the world. We empower and trust our teams to make impactful decisions. Collaboration is our superpower when it comes to driving efficient solutions. As organisation that embraces learning, we value experience and foster a community of knowledge sharing for all.
Description
- AI agents
- MCP servers
- orchestration platforms
- enterprise integrations
- knowledge retrieval
- automation workflows
- conversational interfaces
Your mission
As an AI Engineer, you will design and develop components enabling:
- AI agent interactions
- MCP server capabilities
- enterprise tool integrations
- orchestration services
- APIs and event-driven workflows
- secure access to enterprise data and services
- Product Managers
- Architects
- AI Engineers
- UX specialists
- Platform and Infrastructure teams
Requirements
AI & MCP Platform 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 retrieval and context management services
- Build scalable backend services using Python and/or Java
- Design asynchronous and event-driven architectures
- Integrate with APIs, Kafka, databases and cloud services
- Optimize performance, observability and reliability
- Integrate LLMs and AI services into enterprise workflows
- Work with RAG pipelines, embeddings and vector databases
- Improve context handling and orchestration capabilities
- Contribute to AI governance and secure AI patterns
- Apply modern engineering practices:
- CI/CD
- automated testing
- trunk-based development
- semantic versioning
- observability
- Contribute to architecture and technical design discussions
- Support production operations and continuous improvements
Required skills
Technical
- Experience in Java and ideally Python
- Experience building backend APIs and distributed systems
- Good understanding of REST, async processing and event-driven architectures
- Experience with Kafka or messaging systems
- Experience with cloud-native development
Experience in some of the following:
- MCP servers
- AI agents
- RAG architectures
- vector databases
- LLM integration frameworks
- orchestration frameworks
- prompt engineering
- AI tool integrations
- CI/CD pipelines
- Git workflows
- automated testing
- containerization (Docker/Kubernetes)
- observability and monitoring
Nice to have
- Experience in banking or regulated environments
- Knowledge of security and access-control patterns
- Experience with Snowflake or enterprise data platforms
- Experience integrating enterprise workflow tools
- Exposure to Team Topologies or platform engineering concepts
Profile
- Strong analytical and problem-solving skills
- Curious and pragmatic mindset
- Ability to simplify complex technical topics
- Product-oriented thinking
- Collaborative mindset with strong communication skills
- Comfortable working in agile environments
Example technologies
- Python
- Java
- FastAPI / Spring Boot
- Kafka
- Kubernetes
- Docker
- MCP protocol/server frameworks
- Vector databases
- OpenAI / Anthropic APIs
- GitLab CI/CD
- Snowflake
And also:
- An agile mind-set. It’s not a buzz word: agility is about collaboration, growing together, supporting your team, intellectual humility and strong desire to learn
- True team player as teamwork is at the heart of everything we do
- Fluency in English, both written and verbal. French is a plus.