Responsibilities

- Help build, implement, and deploy agentic platforms within client environments.
- Focus on building and deploying scalable AI-driven solutions.
- Enable organisations to operationalise LLM-powered agents across products, processes, and teams.
- Work closely with client stakeholders, technical leaders, and delivery teams to build, and roll out agentic capabilities that integrate seamlessly with existing enterprise systems and frameworks.

Qualifications

- Significant experience delivering at a Senior Engineer level. Our Seniors typically have at least 8 years of commercial experience.
- Experience designing and building agentic platforms using Python and modern AI frameworks.
- Architect LLM orchestration using frameworks such as LangGraph, CrewAI, AutoGen, and related technologies.
- Implement multi-agent systems supporting tool use, workflow orchestration, memory, and decision-making.




- Design and deploy Retrieval-Augmented Generation (RAG) pipelines integrating enterprise data sources.
- Integrate agentic platforms with client systems, including APIs, data platforms, cloud services, and enterprise applications.
- The ability to configure Kubernetes and deploy workloads.
- Design deployment architectures across cloud, on-premise, and hybrid environments.
- Ability to collaborate efficiently in teams of technical and non-technical individuals.
- Comfort working in a dynamic environment with evolving objectives and direct iteration with users.
- Strong consulting experience to plan, execute, and deliver complex client engagements, solving real business problems.

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📌 Forward Deployed Engineer (Italia)
🏢 Jobtailor
📍 Italia