Descripción del trabajo
We are looking for a Principal AI Engineer with an end-to-end vision of AI systems, able to connect business needs with technical solutions. The role combines hands-on development with architectural design, focusing on building, automating, and deploying production-grade AI solutions.
Key Responsibilities:
Build the AI-first foundation for e-commerce platform:
- Help design the end-to-end architectural structure for production-grade AI systems powering a rental platform (not just prototypes).
- Architect LLM/agentic RAG and agentic workflow patterns (orchestration, tool use, integrations) aligned with enterprise-grade quality and reliability expectations.
- Establish standards for governance, safety guardrails, evaluation, monitoring/observability, auditability and cost control for AI in production.
- Build/guide the implementation of agentic workflows (multi-step automation, tool calling, structured outputs, human approvals).
- Help shape operational building blocks like pricing and fleet logic where AI automation is a lever to boost effectiveness and customer centricity.
Required Skills
- Degree in Computer Science (CS), Business Informatics, Data Science, Engineering — or comparable practical experience. (Great base, but not a must.)
- Proven experience designing and deploying production-grade AI/GenAI systems (not only PoCs), including architecture decisions that stand up in real operations.
- Strong systems thinking across architecture, reliability, security, governance, and operations for AI workloads.
- Ability to lead through influence: reference architectures, standards, reviews, mentoring, and stakeholder alignment
- Working style: Entrepreneurial, structured, hands-on, outcome-driven; comfortable operating in ambiguity and building from scratch.
- Fluent English; willingness to travel as required for rollout and market enablement.
Nice to Have:
- Agentic AI / agentes
- Sistemas SAP y protocolos OData
Soft Skills:
- Strong communication skills.
- Team Player with a positive attitude.
- Advanced English level.
- Availability to travel 3-4 weeks every 3-4 months to Germany.
Required Experience
- Degree in Computer Science (CS), Business Informatics, Data Science, Engineering — or comparable practical experience. (Great base, but not a must.)
- Proven experience designing and deploying production-grade AI/GenAI systems (not only PoCs), including architecture decisions that stand up in real operations.
- Strong systems thinking across architecture, reliability, security, governance, and operations for AI workloads.
- Ability to lead through influence: reference architectures, standards, reviews, mentoring, and stakeholder alignment
- Working style: Entrepreneurial, structured, hands-on, outcome-driven; comfortable operating in ambiguity and building from scratch.
- Fluent English; willingness to travel as required for rollout and market enablement.
Nice to Have:
- Agentic AI / agentes
- Sistemas SAP y protocolos OData
Soft Skills:
- Strong communication skills.
- Team Player with a positive attitude.
- Advanced English level.
- Availability to travel 3-4 weeks every 3-4 months to Germany.