Description: We are building next-generation AI capabilities around:- AI agents- MCP servers- orchestration platforms- enterprise integrations- knowledge retrieval- automation workflows- conversational interfacesThe platform integrates with core enterprise systems and aims to provide scalable, secure and modular AI services for internal users and business applications.Your missionAs 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 servicesYou will work closely with:- Product Managers- Architects- AI Engineers- UX specialists- Platform and Infrastructure teamsRequirements- Responsibilities- 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- Backend Engineering- 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- AI Engineering- 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- Software Engineering Excellence- 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- AI / Modern Platform Engineering- MCP servers- AI agents- RAG architectures- vector databases- LLM integration frameworks- orchestration frameworks- prompt engineering- AI tool integrations- Engineering Practices- 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#J-*****-Ljbffr