Forward Deployed Engineer

Devconnectplatform; Italy; Remote; EUR 54,000 - 66,000; Full time

Benefits offered by this job

Annual Bonus

Remote work

Paid time off 28 days

Job summary

Nearform is seeking a Forward Deployed Engineer based in Italy to help build and deploy agentic platforms within client environments. You will design scalable AI-driven solutions, enabling enterprise teams to operationalise LLM-powered agents across products and processes.

The role requires hands-on experience with Python, Kubernetes, and modern AI frameworks, plus ability to architect orchestration across cloud, on-prem, and hybrid environments. Travel to client sites in Europe is expected.

Qualifications

• Significant experience delivering at a Senior Engineer level.
• Experience designing and building agentic platforms using Python and modern AI frameworks.
• Architect LLM orchestration using 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.
• Configure Kubernetes and deploy workloads.
• Design deployment architectures across cloud, on-premise, and hybrid environments.
• Collaborate efficiently in teams of technical and non-technical individuals.
• Strong consulting experience to plan, execute, and deliver complex client engagements.

Responsibilities

• Build, implement, and deploy agentic platforms within client environments.
• Architect scalable AI-driven solutions to operationalise LLM-powered agents.
• Collaborate with client stakeholders, technical leaders, and delivery teams to roll out agentic capabilities.
• Integrate platforms with existing enterprise systems and data sources.

Skills

Python

Kubernetes

Golang

React

LLM orchestration

Tools

LangGraph

CrewAI

AutoGen

Job description

# Forward Deployed EngineerNearform60k–60k EURFull-timeremote· seniorItalyllmpythonkubernetesgolangreactListed via Jobicy · posted 12 Nov 2026. The application happens there, not on DevConnect.Apply on Jobicy## DescriptionThis 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 NearformNearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact.Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI.Today, our team of 500 experts in 20+ countries is trusted by leading enterprises, including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.About the roleAs 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 KubernetesBenefits & Perks:- Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance.- Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters - school run, no problem!- Paid Time Off Package - We offer an annual leave of 28 days plus public holidays.- Remote Working Allowance - Every 2 years, you will have a budget of up to €1250 to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join.- Training and Development - Nearform is committed to supporting and investing in employees’ ongoing learning and professional development. You will be encouraged to pursue relevant learning opportunities that support your growth and the growth of others, subject to manager approval.- Healthcare - Health insurance is provided for under the applicable national collective labor agreement (CCNL) and may be through the Fondo Est or QuAS.- Pension & Insurances - We provide statutory pension and access to a collective complementary pension scheme (CCNL-based, with employer contribution up to 1.55%), plus Death in Service cover.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. We'll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us assess initial alignment.- Technical Assessment (1 hour via Zoom)A live coding challenge with one of our trained interviewers. You'll be asked to build a working solution to a problem via screen sharing, demonstrating your Python expertise, problem-solving ability, and coding best practices in a real-time environment.- Hiring Manager Interview (45 mins via Zoom)A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We'll also share more details about Nearform and the potential projects you may join.There may also be an additional interview with the client depending on the projectReady 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.Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning.As part of our recruitment process, we conduct manual and electronic identity verification checks to confirm the identity of prospective employees.Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence.If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.Our salary range starts from €60,000 + bonus & benefits and will be discussed during the initial interview based on your experience.