AI Engineer (mfd)

Were looking for an engineer who builds AI systems that create real impact in production (not just demos) and has worked with retrieval or agent-based approaches on enterprise data.

At Natuvion we move business-critical data and processes between platforms. This data enables powerful AI but also comes with complexity sensitivity and high stakes. We use AI to automate internal processes and to build intelligent features into our products and youll work across both areas.

We operate with strictly protected data that is never exposed to external LLMs supported by a strong authorization model. Self-hosted models are an important part of our strategy.

Our core stack is built in Go with gRPC-based services including a custom AI router. While AI work may start in Python production services are built in Go and youll own them end-to-end.

We deliberately stay flexible with our AI stack. The field evolves quickly and we value engineers who stay current think critically and bring ideas to the table.

This role focuses on building robust production-grade systems designed to be operated evaluated and improved over time. Were looking for someone who prioritizes maintainability thoughtful evaluation and chooses the right tool for the job.

If that excites you wed love to hear from you.

Your Responsibilities:

• Design build and operate RAG solutions across the full spectrum from semantic search through to retrieval over highly structured data and knowledge graphs

• Build agentic systems that perform multi-step tasks reliably and safely against enterprise data

• Drive automation of internal processes with AI and ship AI features into customer-facing products

• Own retrieval quality end to end: chunking and embedding strategies hybrid and re-ranking approaches and the evaluation that proves it works

• Evaluate and recommend the tooling for our AI stack vector stores orchestration retrieval frameworks model choices and drive those decisions together with our architect. We expect informed proposals not a wait for instructions

• Author production services in Go (gRPC) and integrate them with our AI router and existing platform; prototype and iterate in Python

• Make grounded technical decisions retrieval vs. fine-tuning vs. prompting vs. a classical approach and defend the trade-offs in architectural reviews

• You hold a degree in Business Informatics or Computer Science

• You have several years of experience a strong Python proficiency for AI development and genuine comfort working in Go youre 100% willing and able to author production gRPC services not just call them

• A proven track record of building AI features on enterprise data that actually shipped and stayed in production

• Real understanding of the fundamentals behind modern RAG: embeddings and vector similarity retrieval and ranking and how transformer-based models behave. You reason about why a pipeline succeeds or fails you dont guess

• Hands-on experience designing and evaluating retrieval and agentic systems including building your own metrics and eval rather than trusting vibes

• Experience with knowledge graphs or structured/semantic data representations is a strong plus

• Curiosity that shows: ideally youve fine-tuned a small model yourself (LoRA / QLoRA or similar) and understand the basics of whats happening under the hood

• You stay genuinely current in a fast-moving field and hold reasoned opinions. You can walk into a discussion with our architect with a concrete recommendation and defend the trade-offs and change your mind when the evidence says so

• Comfortable in cloud-native environments you think about observability failure modes and cost as first-class concerns

• Professional working proficiency in English you can explain complex technical ideas clearly to peers and stakeholders

If you think that you dont meet all the requirements: With us there are no limits to your development! Go your way with us - we support you! Just show us who you are.

What you can expect from us:

An environment that is always open to change and optimization. There is no its always been like this with us. You have the opportunity to contribute your knowledge design processes standardize existing topics or optimize workflows. Be a source of inspiration and bring us even further forward with your expertise!

We create conditions in which you feel comfortable:

• Home office contracts & absolute flexibility through free organization of working hours

• Permanent position and 30 days of vacation

• FlexWork: Work remotely from other European countries for up to 3 months per year

• Monthly budget for individually selectable benefits from over 50 possible offers via emplu various offers via corporate benefits as well as bicycle and car leasing via salary conversion

• Mental Health Benefit Nilo 10 free sessions with psychologists annually as well as access to meditations and courses

• We provide you with targeted support in your professional and personal development at Natuvion

• Mentoring program for a structured and personal induction

• Be part of the #teamgreen - At Natuvion youll work on innovative projects as part of a team that stands up for each other. We rely on cooperation openness and trust

• Modern equipment and central offices in Walldorf Berlin Munich and Leipzig

• Your long-term perspective is important to us which is why we subsidize your company pension scheme as well as capital-forming benefits

Join #teamgreen - Natuvion is a digital moving company.

Our team does not move tables filing cabinets or chairs. Natuvion transports business-critical data and processes from one technology platform to another. Typical Natuvion relocation services include data migration data transformation data integration data privacy data security and data quality.

Our >400 consultants and developers in Germany Austria Slovakia the USA and Australia have extensive know-how in (SAP) projects and a profound understanding of processes across industry boundaries. With a lot of experience commitment and commitment they support our customers with advice services and their own software this way we enable companies to always use their data and processes on the most modern and innovative platforms.