Create reusable components and libraries (Python + n8n) for the Business Feature Team, leveraging existing workflows and agents to accelerate future development.
Perform maintenance (TMA) on existing workflows and agents, focusing on resolving issues and improving performance.
Partner directly with non-technical stakeholders, sit with operations teams, understand their pain points, translate workflows into agentic solutions, and explain your design choices.
Collaborate with the team on Python development, contributing to the production codebase by applying software engineering principles (unit tests, CI/CD, Git, code review) and helping implement AIOps/AgentOps best practices.
Requisiti principali
Currently pursuing a degree in Computer Science, Data Science, or similar technical fields.
Experience with Python, and using Git for collaboration. You are comfortable working in group projects and collaborating within a team, with a strong desire to learn AIOps/MLOps best practices in a professional environment.
Proven experience building production-ready agent workflows with Google ADK (strongly preferred), Langchain, or LangGraph.
Practical experience with cloud platforms (Vertex AI, Kubernetes or equivalents) for deploying scalable GenAI services.
You can sit down with a non-technical stakeholder, draw out their workflow, and come back with a working agent.
Versatile, autonomous, and proactive, you love taking initiatives and driving your projects, with a strong desire to grow while being mentored by our solid team of developers and product managers.
Fluent technical English (written and verbal) mandatory.
