This is a remote position.

You will work directly with our CEO and department leads to identify automation opportunities, architect solutions using cloud-based AI services, and deploy tools that deliver measurable efficiency gains. This role is ideal for a self-starter who is passionate about applying AI to practical business problems and capable of translating technical solutions into tangible results.

Solution Design & Implementation

Embed with each division to deeply understand current workflows — how work actually gets done, where time is lost, and which steps are ripe for agent automation. Translate that understanding into AI agent designs built on cloud-based AI services, with a strong preference for the Google ecosystem (e.g., Google Cloud, App Script, Vertex AI) and the Anthropic ecosystem — alongside OpenAI, GitHub, and Visual Studio.

API Integration

Connect agents to the third-party tools each team already uses, integrating with our preferred AI platforms (Google and Anthropic ecosystems) so agents operate inside existing workflows rather than alongside them. A working command of the developer stack — APIs, auth, SDKs, version control, deployment — is fundamental to this work.

Agent & Workflow Development

Design and build AI agents capable of multi-step reasoning, decision-making, and tool use, with the goal of having a purpose-built agent integrated into every team's workflow. Use frameworks such as CrewAI, or LangGraph, and pick the right pattern (single agent, multi-agent, or scripted workflow) for the problem in front of you.

Developer Stack Fluency

Work fluently across the modern developer stack — Python, Git/GitHub, APIs, cloud services, IDEs, and AI-assisted coding tools — as the foundation for everything else in this role. Read other people's code, ship your own, and debug across the boundary between agent frameworks and the systems they call.

Testing & Optimization

Conduct rigorous testing of all solutions, identify areas for improvement, and iterate to achieve higher accuracy, reliability, and efficiency.

Collaboration

Partner closely with each team from workflow discovery through rollout — running working sessions, demoing prototypes, and iterating with end users so each agent lands cleanly in their daily workflow and earns adoption.

Requirements

Required

•       Currently enrolled in a 4th-year Bachelor's program or a Master's/Graduate program in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Information Systems, or a related technical field

•       Strong foundational Python skills (preferred)

•       Familiarity with AI/ML concepts and large language models (LLMs)

•       Comfort working with APIs, JSON, and structured data formats (CSV, PDF)

•       Basic understanding of or strong interest in cloud computing platforms, particularly Google Cloud Platform and its AI/ML services

•       Hands-on comfort with OpenClaw and Claude Code — we use both daily — along with other AI-assisted coding tools (e.g., GitHub, Gemini, Cursor)

•       Analytical mindset with the ability to break down complex problems and propose practical solutions

•       Excellent verbal and written communication skills — able to collaborate effectively with both technical and non-technical stakeholders

•       Meticulous attention to detail and commitment to data accuracy

Bonus Points

•       Experience building agents in open-source or closed-source environments (e.g., OpenClaw, CrewAI, LangGraph, n8n)

•       Familiarity with vector databases, prompt engineering, or retrieval-augmented generation (RAG)

•       Experience with financial data, engineering data, or operational business data

•       Prior exposure to working with multilingual datasets

•       GitHub portfolio or prior projects demonstrating AI, agent, or automation work

Benefits

•       Direct Mentorship:  Direct mentorship from the CEO and senior leadership with meaningful exposure to executive decision-making

•       Real-World Impact:  Real-world impact — you will ship solutions that are actively used across the business, not toy examples

•       Modern Tech Stack:  Hands-on experience with a modern AI stack: Google Cloud, OpenClaw, Anthropic (Claude), OpenAI, CrewAI, GitHub, and more

•       Skill Development:  Broad skill development across solution design, API integration, agent frameworks, model training, and workflow automation

•       Additional Perks:  Flexible hours, remote work.]

Please submit the following to careers@mundoro.com

•       Your resume

•       A brief cover note (3–5 sentences) describing a technical project you've worked on and what problem it solved

•       Optional but encouraged: A link to your GitHub profile, portfolio, or any relevant project demonstrating experience with AI, automation, or agent development

We review applications on a rolling basis, so early applications are encouraged.