Responsibilities
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- 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

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- 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. xysqume

- 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