Moburst is a full-service, mobile-first digital agency that propels companies into category leaders through AI-powered marketing. Trusted by global brands from startups to enterprises like Microsoft, Sony PlayStation, we deliver end-to-end results across the full marketing stack. Driven by our proprietary AI technologies, we combine advanced data analytics, automation, and predictive modeling to pioneer intelligent solutions that power unparalleled client growth.
We are seeking a highly organized, execution-driven AI Operations & Solutions Engineer with ~2 years of hands-on Python development experience to join our team remotely from South Africa.
This is NOT a theoretical Data Science or Machine Learning research role. This is an execution and delivery role focused on building, deploying, and maintaining internal AI-powered tools, automating workflows, and ensuring cross-departmental operations run seamlessly.
In this role, you will sit behind the scenes of our AI tool-building process. You will be responsible for ensuring that departments deliver required data on time, projects progress according to schedule, materials are validated through strict QA, and Python-based tools and automations are built to high technical standards.
While we actively use modern AI coding tools to accelerate build velocity, you must be a real developer with a solid foundation in Python. Non-technical builders will not fit this role - you need the engineering background to troubleshoot bottlenecks, handle custom logic, perform QA, and build resilient solutions.
Product & Tool Building: Develop, script, and maintain internal AI products, custom tools, and automated workflows primarily using Python and AI frameworks.
Workflow & Process Execution: Act as the technical operational anchor—ensuring departments transfer necessary inputs on time, project deliverables progress smoothly, and missing materials are flagged proactively.
Technical Quality Assurance (QA): Perform end-to-end technical QA on built products, scripts, data pipelines, and AI outputs to guarantee reliability and zero-defect execution.
Integrations & Automations: Connect internal tools, databases, and LLM APIs (OpenAI, Anthropic, Cursor, etc.) via Python to automate manual operational bottlenecks.
Light ML / Data Support: Assist with minor Machine Learning components or data transformation scripts when required as part of broader tool-building projects.
Python Proficiency: Minimum 2 years of hands-on Python engineering experience writing clean, structured, and maintainable code.
Operational Mindset: Exceptionally organized, process-driven, and meticulous about deadlines, QA, and project tracking.
AI Tooling & API Experience: Proven experience leveraging AI coding tools (e.g., Cursor, Copilot) and integrating APIs/webhooks into automated workflows.
Technical QA & Problem Solving: Strong ability to test software tools, identify technical edge-cases, debug code, and resolve execution bottlenecks.
No-Code / Low-Code Integration: Familiarity with workflow tools (Zapier, Make, or similar) alongside custom Python scripts.
Portfolio Requirement: Applicants MUST submit a portfolio or GitHub link demonstrating real projects, scripts, or tools built.
Communication & Location: Native or fluent English speaker with excellent written and verbal communication skills. Must be based in South Africa.
