Forward Deployed Engineer

New
Fully remote role within EuropeFull-TimeMiddle
Salary not disclosed
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Job Details

Languages
English
Required Skills
JavaKubernetesSoftware ArchitectureDevOpsDistributed Systems

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

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
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