AI Engineer (Full Stack Development)

Company: Maker Lab

Location: Bengaluru (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-06-10

About this role

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.

Role Summary:

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.

Role:

  • 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. Your work will establish a foundation that accelerates future development and scales our impact across the organization.
  • Provide critical production support by rapidly troubleshooting, debugging, and resolving integration issues and system failures to ensure high availability and performance.

You:

  • 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), parti...

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