Agentic AI & Vibe Coding Trainers
Deliver focused training in Agentic Software Development & Vibe Coding.
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Overview
Deliver focused training in Agentic Software Development & Vibe Coding.
You have:
- Advanced degree (or equivalent experience) in Computer Science, Artificial Intelligence, Software Engineering, or related fields
- Demonstrated experience in AI Orchestration
- Proven expertise in managing autonomous coding agents using tools like Cursor, Windsurf, Aider, or clis such as Codex, Claude Code to execute multi-step development tasks
- Ability to decompose complex business requirements into structured technical specs that guide AI agents toward scalable, modular code
- High-level proficiency in reading and refactoring AI-generated code to ensure security, performance, and the elimination of 'vibe-induced' technical debt
- Experience implementing automated testing and CI/CD pipelines to rigorously verify the reliability of code produced by autonomous systems
- Strong understanding of 'Context Engineering' and natural language precision to minimize AI hallucinations and maximize iteration speed across the full stack
Contract
This is a UNV contract. More about UNV contracts.
Artificial Intelligence is advancing rapidly, with agentic software development emerging as a transformative paradigm in which AI systems can autonomously plan, act, and make decisions within development workflows. Complementary approaches like vibe coding further enhance this shift by enabling faster, more intuitive human–AI collaboration in software creation.
While these technologies are transforming how solutions are built across sectors, access to the necessary skills remains limited—particularly in Least Developed Countries (LDCs) and developing economies. This gap is not only about technology, but about practical knowledge and hands-on expertise.
To address this, UNDP ICPSD is launching an online Agentic Software Development & Vibe Coding Training Series targeting students, researchers, and early-career professionals from these regions.
Agentic Software Development & Vibe Coding Trainers are expected to contribute by delivering focused, high-quality training to equip participants with the skills needed to effectively apply these emerging AI approaches.
Under the overall supervision of the ICPSD Programme team, the UN Volunteers will:
Design and deliver a structured series of 9–10 lectures on Agentic Software Development & Vibe Coding
Align training content with the best practices and adapt them to the target audience’s level
Cover key topics such as: Introduction to the Vibe Paradigm; Architecting and configuring the AI Workspace; Development paradigms: Intent-Based "Vibe" Iteration; Spec-Driven, Agentic Orchestration, etc. ; Agentic Mechanics: Planning & Tool Use; Managing Multi-Agent Teams; The "Safety Net": Automated Validation & Evals; Debugging in the Agentic Age; Context Engineering & Large Codebases; AI-First SDLC: Deployment & Operations; Capstone: Building an Autonomous Micro-Product; Practical applications and use cases
Develop hands-on exercises, demonstrations, and/or mini projects
Provide guidance and feedback to participants throughout the training
Contribute to the development of supporting materials (slides, notebooks, assignments)
Participate in coordination meetings with programme organizers
Advanced degree (or equivalent experience) in Computer Science, Artificial Intelligence, Software Engineering, or related fields
Demonstrated experience in: AI Orchestration: Proven expertise in managing autonomous coding agents using tools like Cursor, Windsurf, Aider, or clis such as Codex, Claude Code to execute multi-step development tasks. Architectural Supervision: Ability to decompose complex business requirements into structured technical specs that guide AI agents toward scalable, modular code. Code Auditing: High-level proficiency in reading and refactoring AI-generated code to ensure security, performance, and the elimination of "vibe-induced" technical debt. Code Validation: Experience implementing automated testing and CI/CD pipelines to rigorously verify the reliability of code produced by autonomous systems. Strategic Prompt Engineering: Strong understanding of "Context Engineering" and natural language precision to minimize AI hallucinations and maximize iteration speed across the full stack.
Potential interview questions
| Can you describe an experience where you effectively guided AI agents during a software development project? | This question assesses your practical experience in AI orchestration and collaboration with coding agents. | Provide a specific example, highlighting your approach and the outcomes achieved. |
| How do you approach designing training materials for diverse audiences in technology? | The interviewer wants to understand your strategy for tailoring content to different skill levels. | Pro members can see the explanation. |
| Describe a time you had to refactor AI-generated code. What was your approach? | Pro members can see the explanation. | Pro members can see the explanation. |
| What strategies do you use to ensure reliability in code produced by AI systems? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you explain the importance of context engineering in AI development? | Pro members can see the explanation. | Pro members can see the explanation. |
| What methods do you use to ensure your training sessions are engaging and effective? | Pro members can see the explanation. | Pro members can see the explanation. |
| How would you manage a multi-agent team during a project? | Pro members can see the explanation. | Pro members can see the explanation. |
| What challenges do you see in implementing vibe coding, and how would you address them in training? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 2 months ago
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Updated 1 month ago
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Source:
unv.org
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