AI Engineer, (Full Stack Development)

Maker Lab

15h

About The Position

Grounded in a talent-centric mindset, Maker Lab is a marketing agency designed to build decentralised technology-led agency teams, rooted in collaboration with clients from the ground up. Maker Lab’s cross-functional teams of multidisciplinary specialists are embedded into client teams across digital marketing competencies — from measurement & analytics to content production. We’re looking for an AI Engineer for our holding company, Miroma, to support the workflows and the development of AI for our group of agencies. This role will work closely with the innovation team to deliver scalable AI solutions.

Requirements

• At least 3+ years of professional experience in a full-stack development role with a verifiable portfolio of shipped projects.
• Strong, hands-on proficiency in both Python and TypeScript/JavaScript.
• Experience with a major cloud provider (AWS, Azure, GCP).
• Hands-on experience with Google Cloud Platform (GCP), particularly serverless components like Cloud Functions and Firestore, is strongly preferred.
• Experience integrating a variety of third-party REST and/or GraphQL APIs, including expertise in handling complex authentication flows and data transformation.
• Experience with LLM API integrations (e.g., Gemini, OpenAI, Anthropic). This must include practical application of prompt engineering, function/tool calling, and parsing complex model responses.
• A track record of delivering complete solutions with a high degree of autonomy and minimal supervision.
• A mindset of quality ownership, demonstrated by writing clean, maintainable, and production-ready code.
• Candidates must have proven experience defining and implementing their own unit and integration tests.

Nice To Haves

• Familiarity with workflow automation tools is preferred.

Responsibilities

• Design, build, test, and deploy production-grade AI solutions using Python, TypeScript/JavaScript, and cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
• Take complete ownership of AI use cases, from initial technical design and architecture through to deployment, monitoring, and iteration.
• Translate ambiguous business needs into robust and scalable technical systems.
• Engineer complex integrations with a diverse ecosystem of modern APIs, including leading AI models, cloud data platforms, and enterprise SaaS applications across departments like Marketing, HR, Legal, and Finance.
• Identify and abstract common patterns to build robust, reusable components and engines.
• Provide critical production support by rapidly troubleshooting, debugging, and resolving integration issues and system failures to ensure high availability and performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed