Italy

Possiede le competenze, l'esperienza e la determinazione necessarie per avere successo in questo ruolo? Lo scopra qui sotto.

This is a full‑time, permanent opportunity for candidates based in Italy.

This position also requires frequent travel to client sites within Europe, with travel expenses covered by the company.

About the role
As a Forward Deployed Engineer, you will help build, implement, and deploy agentic platforms within client environments. Your role will focus on building and deploying scalable AI‑driven solutions, enabling organisations to operationalise LLM‑powered agents across products, processes, and teams. You will 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.

What we are looking for in this person

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.

Nice to have

Hands‑on experience working with Golang

Hands‑on experience in the Frontend working with React

Deep understanding of Kubernetes

Benefits

Annual Company Bonus

– Profit share based on company performance.

Work Remotely and Flexibly

– Flexible working culture allows remote or flexible schedules.

Paid Time Off Package

– Annual leave of 25 days plus public holidays, sick leave, marriage leave, and more.

Remote Working Allowance

– Budget of up to €1250 every two years to set up a workspace.

Training and Development Allowance

– Allowance to upskill.

Healthcare

– Additional private healthcare.

Pension & Insurances

– Pension match up to 5%, income protection, death in service.

Our Interview Process

Talent Call

(30 mins via Zoom) – An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career goals, and provide an overview of Nearform.

Technical Assessment

(1 hour via Zoom) – A live coding challenge, building a working solution via screen sharing, demonstrating Python expertise, problem‑solving ability, and coding best practices.

Hiring Manager Interview

(45 mins via Zoom) – Conversation focused on teamwork, client collaboration, and problem‑solving in an enterprise development setting, plus details about Nearform and potential projects.

There may also be an additional interview with the client, depending on the project. xlwpduy

Ready to Join Us?
If you're passionate about building high‑quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you.

#J-18808-Ljbffr
Per questa posizione sono disponibili opzioni di lavoro a distanza/a casa.

📌 Forward Deployed Engineer (Perm, Italy, Remote + Travel) (Roma)
🏢 Altro
📍 Roma