Applied AI Engineer
Beyond our core agency services, we are developing Elevate, a proprietary Marketing Intelligence product featuring a "Universal AI Agent." Our technical vision is to consolidate our diverse internal tools and client-facing agents into a unified, autonomous ecosystem using the Model Context Protocol (MCP).
In this role, you will operate as a Senior AI Solutions Engineer. You will have full architectural autonomy to design, build, and deploy complex AI solutions. You will bridge the gap between low-code orchestration and custom backend engineering to solve high-value business problems.
Responsibilities
Product Engineering (Elevate & Core Infrastructure)
Architect and build the Universal Agent: Design the central orchestration layer for our "Elevate" platform, allowing the AI to autonomously perform complex actions across integrated marketing tools.
Implement MCP Strategy: Lead the adoption of the Model Context Protocol (MCP) to standardize how our agents connect to external APIs, databases, and third-party platforms.
Client & Agency Automation
Bespoke Agent Development: Prototype and deploy specialized AI agents or automation workflows for our internal process automation and B2B clients (e.g. Automated File handling, Data Analysis Pipelines, Automated Reporting).
Technical Implementation
Advanced Integrations: Build custom connectors for complex APIs, handling authentication and data transformation programmatically.
Custom Tooling: Extend the capabilities of standard automation platforms by writing custom nodes, scripts, and microservices in TypeScript or Python.
Reliability Engineering: Ensure all workflows are production-grade, implementing comprehensive error handling, logging, and rate-limit management strategies.
