Job
- Level
- Erfahren
- Ort
- Würzburg
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Position entwickelst du AI-Lösungen, von der Konzeption bis zur Produktion, arbeitest an LLM-basierten Anwendungen und agentischen AI-Systemen und optimierst deren Leistung in Kundenszenarien.
Job Technologien
Deine Rolle im Team
- As a AI Engineer, you will take technical responsibility for customer-facing AI solutions - from early design decisions to production deployment and operation.
- You will design, build, and operate AI applications ranging from LLM-powered workflows (e.g., intelligent document processing, RAG systems) to agentic AI systems that are actively used in customer environments.
- You'll work closely with customers and internal engineers to translate ambiguous requirements into reliable, scalable systems and guide AI-driven product development within customer projects.
- This role is hybrid, with predominantly remote work and occasional on-site presence at customer locations across Germany and our office in Würzburg, Bavaria.
- Design and ship end-to-end AI systems, from prototype to production.
- Build LLM-powered applications (incl. RAG, tool usage, validations) with a focus on reliability and cost-efficiency.
- Develop and operate agentic AI systems (e.g., planning, tool orchestration, multi-step workflows) with clearly defined safety and integrations into customers' systems.
- Define evaluation strategies (offline + online), including metrics, benchmarks, and monitoring.
- Optimize system performance across latency, cost, and quality.
- Take technical leadership within customer project teams, coordinating architecture, implementation, and iteration cycles.
- Act as a technical point of contact for customers, explaining trade-offs and guiding solution decisions.
- Work directly with customers and internal teams to turn ambiguous, real-world problems into concrete AI solutions.
- Contribute to architectural decisions and support less-experienced engineers through technical guidance (no people management).
Unsere Erwartungen an dich
Qualifikationen
- Ability to work independently in customer-facing environments, taking ownership of technical decisions under uncertainty.
- Professional communication skills in customer contexts.
- Residence in Germany.
Erfahrung
- Several years (3-6) of hands-on experience building and operating AI/ML systems in real-world projects.
- Solid experience implementing agents on the LangChain stack (LangGraph, DeepAgents) in Python, including FastAPI interfaces.
- Experience with AWS (e.g. ECS, CDK, …)
- Strong Python expertise (app. 5 years) and experience with modern AI/LLM tooling; framework-agnostic mindset.
- Proven experience with LLM-based systems (e.g., RAG, embeddings, tool usage) and an understanding of trade-offs between quality, cost, latency, and complexity.
Unser Angebot
- Real ownership: Build and own AI solutions that go live quickly!
- Small, experienced team with fast decision-making.
- Flexible working hours and freedom to choose your workplace.
- Learning budget and support for conferences and publications.
- Pentadoc Group offers additional benefits, feel free to check out everything.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Pentadoc AG
Die Pentadoc AG ist eine eigenständige Unternehmensberatung aus Würzburg, die Firmen bei der digitalen Transformation begleitet. Ihr Schwerpunkt liegt auf Enterprise Content Management sowie dem Management von Dokumenten und Informationen, einschließlich Beratungs- und Implementierungsdiensten.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Beratung
AI Engineer
- Ort
- Würzburg
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
