[All remote jobs](https://jobicy.com/jobs.md)[![Nearform logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/11/27931a3f46b1-221.webp)](https://jobicy.com/company/nearform.md)[Nearform](https://jobicy.com/company/nearform.md) # Forward Deployed Engineer AI Summary Nearform is hiring a senior Forward Deployed Engineer to build and deploy agentic AI platforms in enterprise client environments. The role focuses on Python-based LLM orchestration, multi-agent systems, RAG pipelines, and integrations with cloud, data, and enterprise systems. The engineer will design deployment architectures across cloud, on-premise, and hybrid environments, including Kubernetes-based workloads. This Italy-based permanent role is remote and flexible, but requires frequent travel to client sites across Europe. Strong consulting skills, stakeholder collaboration, and the ability to work through evolving client requirements are essential.[Apply for this job](#job-application)[View company](https://jobicy.com/company/nearform.md)ShareRemote from[Italy](https://jobicy.com/job-region/italy.md)SalaryEUR 60k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished12 Nov 2026Apply before12 Dec 2026Listing views38Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. 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 [Nearform](https://jobicy.com/company/nearform.md) Nearform 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 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 & 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 project ### 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. 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. Show more [Apply now >](https://jobicy.com/jobs/161642-forward-deployed-engineer-10.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior client-facing engineering role requiring at least eight years of commercial experience and deep capability across AI agents, enterprise integrations, and deployment architecture. The combination of technical delivery, consulting, and frequent client iteration makes the role highly demanding. ## Salary analysis Estimated compensation compared with the broader EU market for similar roles. Estimated job median (per year)Market rate€60,000EU market range (per year)€60k–€85k0€93.50k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer states that the salary range starts at €60,000, with bonus and benefits offered separately. The annual pay period is inferred because the posting does not explicitly state a cadence; it is a full-time permanent senior engineering role in Italy. A reasonable estimated annual market range for this specialization is €60,000–€85,000. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[LLM orchestration](https://jobicy.com/jobs?search_keywords=LLM%20orchestration.md)[LangGraph](https://jobicy.com/jobs?search_keywords=LangGraph.md)[CrewAI](https://jobicy.com/jobs?search_keywords=CrewAI.md)[AutoGen](https://jobicy.com/jobs?search_keywords=AutoGen.md)[Multi-agent systems](https://jobicy.com/jobs?search_keywords=Multi-agent%20systems.md)[Retrieval-Augmented Generation](https://jobicy.com/jobs?search_keywords=Retrieval-Augmented%20Generation.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Cloud architecture](https://jobicy.com/jobs?search_keywords=Cloud%20architecture.md)[Enterprise integration](https://jobicy.com/jobs?search_keywords=Enterprise%20integration.md)[API integration](https://jobicy.com/jobs?search_keywords=API%20integration.md)[Data platforms](https://jobicy.com/jobs?search_keywords=Data%20platforms.md)[Consulting](https://jobicy.com/jobs?search_keywords=Consulting.md)[Golang](https://jobicy.com/jobs?search_keywords=Golang.md)[React](https://jobicy.com/jobs?search_keywords=React.md) Sample interview questionsHow would you design an enterprise-grade multi-agent platform for a client with sensitive internal data?I would begin with the business workflows, data classifications, user roles, and risk constraints. I would create a modular orchestration layer with clearly scoped agents, approved tool access, audit logging, retrieval controls, human approval for high-impact actions, and observability for quality, latency, and cost. What factors guide your choice between LangGraph, CrewAI, and AutoGen? I compare the required control flow, state management, human-in-the-loop needs, tool ecosystem, deployment constraints, and operational maturity. For deterministic, stateful workflows I would favor a graph-oriented approach, while agent collaboration frameworks can be appropriate for more dynamic task delegation when robust guardrails are in place. How would you implement a RAG pipeline connected to several enterprise data sources? I would establish governed ingestion pipelines, normalize and enrich documents with metadata, implement access-aware retrieval, and select embeddings and chunking strategies based on the content type. I would then evaluate retrieval relevance, answer quality, citation accuracy, latency, and security before production rollout. Describe how you would deploy an AI workload to Kubernetes across cloud and on-premise environments. I would package services as containers, use Kubernetes manifests or Helm charts, externalize configuration and secrets, and define autoscaling, resource limits, health checks, and observability. I would also account for model-serving requirements, network controls, data residency, release strategy, and environment-specific infrastructure differences. How do you handle changing requirements during a client engagement? I align stakeholders on the desired business outcome, convert uncertainty into short validation milestones, and maintain a transparent prioritized backlog. I communicate trade-offs early, demonstrate working increments frequently, and use evidence from users and system metrics to guide the next iteration. Next step ## Apply now. 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