About the job
Location: EMEA (CET time zone)
At aidigital, we are at the forefront of innovation, developing Elevate, a cutting-edge Marketing Intelligence product that features a revolutionary "Universal AI Agent." Our goal is to integrate our diverse suite of internal tools and client-facing agents into a seamless, autonomous ecosystem, leveraging the Model Context Protocol (MCP).
As an Applied AI Engineer, you will take on the pivotal role of Senior AI Solutions Engineer, where you will enjoy full architectural autonomy to design, build, and deploy sophisticated AI solutions. This position allows you to bridge low-code orchestration with custom backend engineering to tackle high-impact business challenges.
Responsibilities
Product Engineering (Elevate & Core Infrastructure)
Universal Agent Architecture: Construct the core orchestration layer for our "Elevate" platform, enabling the AI to autonomously execute complex tasks across integrated marketing tools.
MCP Strategy Implementation: Spearhead the integration of the Model Context Protocol (MCP) to standardize how our agents interface with external APIs, databases, and third-party platforms.
Client & Agency Automation
Custom Agent Development: Design and deploy tailored AI agents or automation workflows to streamline internal processes and enhance B2B client operations (e.g., Automated File Handling, Data Analysis Pipelines, Automated Reporting).
Technical Implementation
Advanced Integrations: Develop custom connectors for complex APIs, managing authentication and data transformation through coding.
Custom Tooling: Enhance the capabilities of existing automation platforms by creating custom nodes, scripts, and microservices using TypeScript or Python.
Reliability Engineering: Ensure the production readiness of all workflows by implementing robust error handling, logging, and rate-limit management strategies.
