Job
- Level
- Experienced
- Location
- Würzburg
- Working Model
- Hybrid, Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop AI solutions from design to production, work on LLM-powered applications and agentic AI systems, and optimize their performance in customer scenarios.
Job Technologies
Your role in the team
- As an AI Engineer, you will assume 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 will 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.
- Übernehmen Sie die technische Leitung innerhalb der Kundenteams, koordinieren Sie Architektur, Implementierung und Iterationszyklen.
- 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).
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Our expectations of you
Qualifications
- Ability to work independently in customer-facing environments, taking ownership of technical decisions under uncertainty.
- Professionelle Kommunikationsfähigkeiten im Kundenkontakt.
- Residence in Germany.
Experience
- 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 (approx. 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.
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What we offer
- Real ownership: Build and own AI solutions that go live quickly!
- Kleines, erfahrenes Team mit schnellen Entscheidungsprozessen.
- 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.
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Topics You Will Work On
Job Locations
About Your Employer
Pentadoc AG
Pentadoc AG is an independent consulting firm based in Würzburg that assists companies with digital transformation. Its focus is on enterprise content management as well as document and information management, including consulting and implementation services.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consulting
AI Engineer
- Location
- Würzburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
