Forward Deployed Engineer

Jobgether; Italy; Remote; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Fully remote role within Europe

Cutting-edge agentic AI projects

High-impact enterprise deployments

Knowledge sharing culture

Remote-first organization

Job summary

Jobgether, on behalf of a partner company, seeks a Forward Deployed Engineer in Italy. You will bridge engineering with AI systems design, guiding customers to production-ready multi-agent architectures and scalable deployments.

You will lead workshops, mentor developers, and collaborate with enterprise teams, ensuring reliability, best practices, and fast, safe adoption of agentic AI solutions.

Qualifications

• Strong hands-on experience with distributed systems and modern software architecture.
• Deep understanding of agentic AI systems, LLM orchestration, context engineering, and multi-agent frameworks.
• Experience designing AI safety mechanisms, guardrails, and evaluation/testing frameworks.
• Strong proficiency in JVM-based languages (e.g., Java) and distributed computing concepts.
• Experience with cloud-native systems, including Kubernetes and containerized deployments.
• Solid understanding of SRE principles, system reliability, and production-grade architecture.
• Ability to quickly learn new frameworks, programming languages, and technical domains.
• Experience in technical consulting, developer relations, engineering enablement, or mentoring roles.
• Strong communication and presentation skills with enterprise teams.

Responsibilities

• Lead technical workshops, deep-dive sessions, and hands-on training for customer engineering teams.
• Mentor developers through pairing, architectural guidance, and proof-of-concept development.
• Rapidly understand customer systems, architectures, and codebases to provide immediate technical support.
• Guide the design of multi-agent AI systems, focusing on orchestration, context engineering, and semantic data flows.
• Support customers in building safe, production-ready applications with strong guardrails and policy frameworks.
• Advise on system reliability, scalability, and deployment best practices, including SRE and DevOps principles.
• Collaborate on environment setup, container orchestration, and production hardening strategies.
• Act as a technical bridge between customers and internal product/engineering teams.
• Run office hours, architectural reviews, and ongoing technical enablement sessions.
• Ensure customers progress toward technical independence and production ownership.

Skills

Distributed systems

Agentic AI systems

LLM orchestration

Context engineering

Java / JVM languages

Kubernetes

SRE / DevOps principles

Tools

Kubernetes

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Forward Deployed Engineer in Italy. This role sits at the intersection of deep engineering expertise, AI systems design, and high-impact client engagement. You will work directly with enterprise engineering teams to help them build, deploy, and scale production-grade applications powered by an agentic AI platform. Acting as both a technical architect and hands-on mentor, you will guide customers through complex system design challenges while ensuring they achieve production readiness and long-term technical self-sufficiency. The role requires rapid adaptability across unfamiliar tech stacks, strong distributed systems knowledge, and the ability to translate advanced AI concepts into practical engineering solutions. You will lead workshops, pair with developers, and influence architectural decisions in real time. This is a highly dynamic, customer-facing engineering role where your impact is measured by the success, stability, and scalability of customer deployments.

Accountabilities

• Lead technical workshops, deep-dive sessions, and hands-on training for customer engineering teams
• Mentor developers through pairing, architectural guidance, and proof-of-concept development
• Rapidly understand customer systems, architectures, and codebases to provide immediate technical support
• Guide the design of multi-agent AI systems, focusing on orchestration, context engineering, and semantic data flows
• Support customers in building safe, production-ready applications with strong guardrails and policy frameworks
• Advise on system reliability, scalability, and deployment best practices, including SRE and DevOps principles
• Collaborate on environment setup, container orchestration, and production hardening strategies
• Act as a technical bridge between customers and internal product/engineering teams
• Run office hours, architectural reviews, and ongoing technical enablement sessions
• Ensure customers progress toward technical independence and production ownership

Requirements

• Strong hands-on experience with distributed systems and modern software architecture
• Deep understanding of agentic AI systems, LLM orchestration, context engineering, and multi-agent frameworks
• Experience designing AI safety mechanisms, guardrails, and evaluation/testing frameworks
• Strong proficiency in JVM-based languages (e.g., Java) and distributed computing concepts
• Experience with cloud-native systems, including Kubernetes and containerized deployments
• Solid understanding of SRE principles, system reliability, and production-grade architecture
• Ability to quickly learn new frameworks, programming languages, and technical domains
• Experience in technical consulting, developer relations, engineering enablement, or mentoring roles
• Strong communication and presentation skills with the ability to lead technical discussions with enterprise teams
• Highly adaptable, proactive, and comfortable working in ambiguous, fast-changing environments
• Native-level or highly fluent English communication skills

Benefits

• Fully remote role within Europe
• Opportunity to work on cutting-edge agentic AI systems used in production environments
• High-impact role working directly with enterprise engineering teams
• Collaborative, engineering-led culture focused on innovation and knowledge sharing
• Exposure to advanced AI, distributed systems, and cloud-native architectures
• Strong autonomy with ownership of customer technical success
• Continuous learning environment with rapidly evolving technologies
• Work-life balance within a distributed, remote-first organization

We appreciate your interest and wish you the best!