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Senior AI Engineer - Developer Productivity & SDLC (m/w/x)
Building AI-powered tools and shared capabilities for critical infrastructure software development. Deep expertise in LLMs, MLOps, and agentic AI required. Flexible working time, home office possible.
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Anforderungen
- Deep expertise in LLMs, MLOps, and agentic AI
- Credibility and communication skills to drive change
- Hands-on technical role
- Ability to earn trust through demonstrated expertise
- Ability to bring people along through clear communication
- Ability to navigate organizational complexity
- Several years of leadership as Technical Lead or Engineering Manager in ML
- 5+ years of ML engineering experience
- Proven track record designing, building, and operating scalable production ML systems
- Proven track record designing, building, and operating software platforms with measurable business impact
- Experience building platform and infrastructure tools for other engineering teams
- Experience defining development processes and workflows
- Excellent Python skills
- Hands-on cloud experience (Azure/AWS/GCP)
- Strong MLOps practice (CI/CD for ML, versioning, monitoring, automation)
- Deep understanding of modern LLM architectures (transformers, attention)
- Extensive production experience with foundation and embedding models
- Proficiency with agentic frameworks
- Proficiency with multi-agent system design
- Proficiency with advanced prompt engineering
- Excellent communication skills to convey complex technical topics clearly
- Strong influence through expertise
- Ability to lead without formal authority
- Collaborative mindset in complex organizations
- High autonomy
- Comfort with ambiguity
- Servant-leadership mindset focused on enabling other engineers
- Resilient, pragmatic approach
- Evidence-based iteration in emerging technology areas
Aufgaben
- Build AI-powered tools and shared capabilities across the SDLC
- Build and maintain shared capabilities, platforms, standards, and tools
- Lead the technical implementation of an AI-assisted development initiative
- Evaluate, configure, and maintain the AI development tool stack
- Standardize AI agent interaction and integration with internal tools and workflows
- Build retrieval-augmented generation systems over internal documentation
- Define and implement productivity and quality metrics
- Run controlled pilots, measure impact, and drive adoption decisions
- Ensure AI-assisted development tools comply with governance frameworks and regulation
- Work within established security and IP protection practices
- Build and maintain reusable CI/CD templates for ML pipelines
- Develop and maintain reusable system prompts for engineering tasks
- Run training sessions to raise organizational AI capability
- Document best practices for AI usage
- Build the internal knowledge base for AI capabilities
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Development opportunities
- Career opportunities
- Flexible working time
- Working time accounts
- Home Office possible
- Social events
- Local benefits
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Rosenxt Creation Center GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei Rosenxt Creation Center GmbHÜber das Unternehmen
Die Rosenxt Gruppe sorgt mit weltweit eingesetzten Inspektionssystemen für den sicheren Betrieb von Industrieanlagen. Sie entwickelt und betreibt eigene Prüfsysteme und integriert diese in Produktionsprozesse internationaler Kunden.
rosen-nxt.comNejo bewertet ihn, und bringt ihn danach gemeinsam mit dir in Bestform.
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