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.

• Engineering Background: 5+ years of experience in software development (Backend focus) with a strong portfolio of AI/Automation projects.

• Coding Proficiency: Strong production skills in TypeScript (Node.js) or Python. You must be comfortable writing code when low-code tools reach their functional limits.

• API Architecture: Experience working with REST, GraphQL, and Webhooks. Ability to reverse-engineer private APIs when necessary.

• LLM Architecture: Deep understanding of Large Language Models, including Prompt Engineering (OpenAI, Anthropic), Function Calling (Tool Use), Embeddings and RAG.

• Automation Workflows Expertise: Experience with workflow automation software and workflows like N8N, Zapier, Make or Langchain

• Database Knowledge: Proficiency with SQL and Vector Stores.

Why Join Us?

• Architectural Freedom: You define the technical approach. We focus on the outcome, giving you the autonomy to choose the right tools for the job.

• Product Impact: You are not just building temporary scripts; you are engineering the core intelligence logic for the "Elevate" product.

• Advanced Tech: We are early adopters of standards like MCP, offering you the chance to work with the latest developments in Agentic AI.

Conditions

• USD compensation that values your expertise.‍

• Work from anywhere: Fully remote to suit your lifestyle.‍

• 31 days of paid time off: 21 days of annual leave + 10 days of sick leave, because your health and work-life balance matter.‍

• Growth-focused environment: Access to learning resources and clear pathways for growth.‍

• Fun team events: Virtual cooking classes, yoga sessions, team quizzes and more.

• ‍A culture of trust: We cut the red tape — results over rules always. Open talk, ownership, and getting things done together.
  

AI Digital does not discriminate on the basis of race, color, religion, gender identity or expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class in terms of employment. We support workplace diversity and believe strongly that it contributes to a broader collective perspective that consistently leads to better products and a better company. We are working hard to increase the diversity of our team.