This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation.

Requirements:

- 6+ years of experience in software engineering or product engineering.

- Strong experience with:

- Familiarity with multi-agent workflows and AI evaluation techniques.

- Experience with integrating LLMs into real-world systems, including:

- LLM APIs (OpenAI, Anthropic, Hugging Face),

- RAG pipelines, vector databases (Pinecone, Weaviate, FAISS) Mandatory

- Primary stacks: JavaScript/TypeScript (React, Next.js, Node.js), Python (FastAPI, Django, Flask).

- Hands-on experience using AI-assisted development tools such as GitHub Copilot, Claude, Cursor, or similar.

- Experience with MCPs ecosystem and tool integrations

Experience with

- AI-native engineering workflows

- Agent orchestration and multi-agent collaboration

- Automated AI output validation

- Prompt engineering and TokenOps fundamentals

- Context management and tool routing strategies





- Ability to independently translate product requirements into feature specifications and executable implementation workflows.

- Strong understanding of software architecture, testing strategies, CI/CD, and cloud engineering practices.

- Strong communication, collaboration, and problem-solving skills. Product-oriented mindset.

Responsibilities:

- Design and implement fullstack product solutions using AI-assisted engineering workflows.

- Translate product requirements into clear specifications, architecture decisions, and implementation plans.

- Orchestrate AI tools and agents across coding, testing, validation, refactoring, and documentation workflows.

- Implement automated testing and validation approaches to ensure delivery quality.

- Optimize AI workflow efficiency through effective context management and token usage.

- Collaborate with product managers, designers, and engineers to rapidly iterate on product capabilities.

- Contribute to reusable templates, accelerators, and AI-enabled engineering best practices

📌 Fullstack AI Product Engineer (Colombia)
🏢 Intellias
📍 Colombia