AI Engineer – Full Stack Development

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Maker Lab

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

B2B • Marketing

Maker Lab is a company that specializes in providing top-tier talent to enhance collaboration and performance within teams. Founded in 2015, Maker Lab offers embedded teams and studio on-demand services to transform brands through social-first strategies and brand building. They leverage AI to precisely match global, pre-vetted talent to meet client needs. Maker Lab focuses on in-housing content creators and social strategists, enabling seamless results for businesses by bringing cultural trends and hyperlocal content into their brand-building processes.

📋 Description

• 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.

🎯 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. • Familiarity with workflow automation tools is preferred.