Forward Deployed Engineer
New
J
JobgetherArtificial Intelligence
Germany, UTC ±2 hoursFull-Time
Salary60,000 - 90,000 EUR per year
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Job Details
- Required Skills
- KubernetesSoftware Engineering
Requirements
- Hands-on experience in a customer-facing technical position such as Forward Deployed Engineer, Solutions Architect, or a comparable role.
- Proven, practical experience building with agentic AI, including MCPs, agent frameworks, tool-using LLMs, or related technologies.
- Ability to quickly understand unfamiliar business domains and translate business needs into concrete technical solutions.
- Solid working knowledge of Kubernetes and cloud-native operations.
- Strong software engineering and coding skills, with a practical, hands-on approach to building and shipping solutions.
- Excellent communication skills and confidence working with both technical engineers and non-technical customer stakeholders.
- Ability to balance customer needs, technical constraints, and business outcomes effectively.
- Comfortable working in ambiguous environments where processes and best practices are still evolving.
- Strong ownership, adaptability, curiosity, and problem-solving skills.
- Willingness to align part of your working day with European time zones (UTC ±2 hours).
Responsibilities
- Partner directly with customers as an embedded technical expert, taking ownership of designing, building, and deploying practical agentic solutions.
- Quickly understand new industries, business domains, customer data, technical environments, and desired outcomes.
- Identify AI and agentic workflows that can deliver measurable and realistic business value.
- Design and build proof-of-concepts and production-ready solutions using MCPs, skills, agent frameworks, tool-using LLMs, and the agent platform.
- Tailor agentic workflows to customer-specific data, systems, and operational requirements.
- Help customer engineering teams understand, adopt, extend, and ultimately take ownership of the solutions delivered.
- Conduct technical workshops, pairing sessions, enablement activities, and developer-focused engagements.
- Translate platform capabilities into practical technical solutions that customer engineers can implement and build upon.
- Capture recurring patterns, technical challenges, and product gaps from customer engagements and communicate them to the product and engineering teams.
- Contribute to pre-sales activities by helping evaluate AI use cases, scope potential solutions, and create technical examples that demonstrate value.
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