AI Engineer (m/f/d)

Natuvion

23h • Hybrid

About The Position

We are seeking an engineer to build AI systems that create real impact in production, with experience in retrieval or agent-based approaches on enterprise data. At Natuvion, we handle business-critical data and processes, utilizing AI for internal automation and intelligent product features. Our operations involve strictly protected data, self-hosted models, and a core stack in Go with gRPC services. While AI work may start in Python, production services are built in Go, and this role involves end-to-end ownership. We value engineers who stay current, think critically, and prioritize robust, production-grade systems with maintainability and thoughtful evaluation.

Requirements

• Degree in Business Informatics or Computer Science
• Several years of experience
• Strong Python proficiency for AI development
• Genuine comfort working in Go — 100% willing and able to author production gRPC services, not just call them
• 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.
• Hands-on experience designing and evaluating retrieval and agentic systems, including building your own metrics and eval rather than trusting vibes
• Professional working proficiency in English — you can explain complex technical ideas clearly to peers and stakeholders

Nice To Haves

• Experience with knowledge graphs or structured/semantic data representations is a strong plus
• Ideally you've fine-tuned a small model yourself (LoRA / QLoRA or similar) and understand the basics of what's 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

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.
• 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

Benefits

• 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
• Targeted support in your professional and personal development
• Mentoring program for a structured and personal induction
• Subsidized company pension scheme as well as capital-forming benefits
• Modern equipment

What This Job Offers

• Job Type: Full-time
• Career Level: Senior