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Applied AI Engineer

aidigitalRemote job
Remote Full-time

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Experience Level

Senior

Qualifications

RequirementsEngineering Background: Minimum of 5 years of experience in software development with a focus on backend, showcasing a strong portfolio of AI and Automation projects. Coding Proficiency: Advanced skills in TypeScript (Node.js) or Python. Ability to write code when low-code solutions reach their limits. API Architecture: Experience with REST, GraphQL, and Webhooks, with the capability to reverse-engineer private APIs as needed. LLM Architecture: Profound knowledge of Large Language Models and their applications.

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.

About aidigital

aidigital is a dynamic and innovative company focused on harnessing the power of AI and automation to transform marketing strategies. Our proprietary platform, Elevate, is designed to empower businesses through intelligent solutions that streamline operations and enhance decision-making.

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