Design and build the next generation of AI tooling and infrastructure, enabling workflow automation and shaping the foundation for an AI-first platform.
Requirements
- Hands-on experience with MCP (Model Context Protocol) or similar AI-agent frameworks.
- Familiarity with n8n, Langchain or similar.
- Strong expertise in Python and in Semantic data definitions (CubeJS etc)
- Proven experience designing and deploying APIs with strong contracts/interfaces.
- Knowledge of data pipelines (Snowflake, DuckDB, dbt, Kafka) and secure API integrations.
- Solid grounding in security practices: secrets management, data redaction, rate limiting
- Strong observability and monitoring skills (OpenTelemetry, Prometheus, Grafana, Sentry).
Responsibilities
- Design, implement, and maintain MCP servers and connectors to integrate LLMs with internal and external systems.
- Extend and integrate n8n workflows (or equivalent orchestration tools) for automation of AI-powered tasks.
- Ensure security, observability, and reliability in AI-enabled services.
- Contribute to team-wide best practices in AI-first software engineering.
- Design, implement, and maintain MCP servers and connectors.
- Extend and integrate n8n workflows.
Other
- Collaborate with product, data, and AI teams to deliver developer-facing tools and SDKs.
- Mentor other engineers.
- Excellent communication skills and ability to work across cross-functional teams
- Experience scaling LLM-driven systems from prototype to production.
