Xentral
Head of AI(m/w/x)
VollzeitRemoteSenior
Augsburg, Berlin, München, Lohne
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Dein persönlicher KI-Karriere-Agent
NEneoshare AG
Head of AI Engineering(m/w/x)
München, Frankfurt am Main, Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Productionizing ML models and building unified LLM access for fintech SaaS. 4+ years leading AI/ML production engineering required. 30 vacation days, flexible hours.
Anforderungen
- 5+ years backend engineering experience
- 4+ years leading AI/ML engineering in production
- 10+ years total experience ideal
- Deep architecture expertise in Java (JVM)
- Deep architecture expertise in Node.js (NestJS)
- Distributed systems expertise
- APIs expertise
- Microservices expertise
- Messaging/streaming expertise
- Hands-on with LLM orchestration (LangChain/LlamaIndex or custom)
- Hands-on with vector DBs (Pinecone, Qdrant, FAISS)
- Hands-on with cloud AI (AWS Bedrock)
- Operation of systems at scale (millions of daily API calls)
- Strong SLOs
- Strong observability
- Strong incident management
- MLOps foundations: model registries
- MLOps foundations: experiment tracking
- MLOps foundations: CI/CD
- MLOps foundations: Kubernetes
- MLOps foundations: IaC (Terraform)
- Security best practices
- Excellent communication skills
- Excellent stakeholder management skills
- Strong product sense focused on shipping user-facing features
- Experience with GPU/accelerator serving and optimization (vLLM, TGI, Triton, ONNX Runtime)
- Cost optimization for LLM workloads (token budgets, dynamic routing, caching)
- Evaluation and safety/red-teaming for generative systems
- Startup/high-growth experience
- Right to work in the EU
Aufgaben
- Transform ML team from research-heavy to production-grade
- Partner with Director of AI on strategy
- Build platform unifying LLM access, RAG, and backend services
- Ship reliable, scalable AI features for banking
- Hire, mentor, and develop high-performing team
- Set technical standards, operating rhythms, and review practices
- Organize sub-teams with clear ownership and SLOs
- Manage roadmap, capacity planning, and delivery
- Own LLM gateway with unified APIs and proxy layers
- Implement rate limits, fallbacks, and cost tracking
- Build high-performance RAG pipelines
- Ensure robust observability and safety guardrails
- Define clean async contracts and eventing patterns
- Drive low-latency, scalable inference
- Lead end-to-end model and prompt lifecycle
- Curate data, train, evaluate, and deploy models
- Establish LLMOps/MLOps practices
- Implement CI/CD, canary/A/B tests, and drift monitoring
- Optimize inference throughput and cost
- Translate company goals into AI/ML roadmap
- Balance exploration with reliability and cost
- Manage build-vs-buy/vendor strategy
- Implement data privacy, security, and compliance
- Track prompt/model lineage and reproducibility
- Define incident response and postmortems
Berufserfahrung
- 10 - 15 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Java
- JVM
- Node.js
- NestJS
- LangChain
- LlamaIndex
- Pinecone
- Qdrant
- FAISS
- AWS Bedrock
- Kubernetes
- Terraform
- vLLM
- TGI
- Triton
- ONNX Runtime
Benefits
Lockere Unternehmenskultur
- International & Inclusive Team
- Modern & Dog-friendly Offices
Mehr Urlaubstage
- 30 vacation days
- Half-day off on Christmas Eve
- Half-day off on New Year's Eve
Flexibles Arbeiten
- Flexible working hours
- Hybrid work
Workation & Sabbatical
- Workation
Gesundheits- & Fitnessangebote
- Urban Sports/EGYM Club subsidy
Öffi Tickets
- 50% monthly subsidy for Deutschlandticket
Firmenfahrrad
- JobRad bicycle leasing
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens neoshare AG 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.
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NEneoshare AG
Head of AI Engineering(m/w/x)
München, Frankfurt am Main, Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Productionizing ML models and building unified LLM access for fintech SaaS. 4+ years leading AI/ML production engineering required. 30 vacation days, flexible hours.
Anforderungen
- 5+ years backend engineering experience
- 4+ years leading AI/ML engineering in production
- 10+ years total experience ideal
- Deep architecture expertise in Java (JVM)
- Deep architecture expertise in Node.js (NestJS)
- Distributed systems expertise
- APIs expertise
- Microservices expertise
- Messaging/streaming expertise
- Hands-on with LLM orchestration (LangChain/LlamaIndex or custom)
- Hands-on with vector DBs (Pinecone, Qdrant, FAISS)
- Hands-on with cloud AI (AWS Bedrock)
- Operation of systems at scale (millions of daily API calls)
- Strong SLOs
- Strong observability
- Strong incident management
- MLOps foundations: model registries
- MLOps foundations: experiment tracking
- MLOps foundations: CI/CD
- MLOps foundations: Kubernetes
- MLOps foundations: IaC (Terraform)
- Security best practices
- Excellent communication skills
- Excellent stakeholder management skills
- Strong product sense focused on shipping user-facing features
- Experience with GPU/accelerator serving and optimization (vLLM, TGI, Triton, ONNX Runtime)
- Cost optimization for LLM workloads (token budgets, dynamic routing, caching)
- Evaluation and safety/red-teaming for generative systems
- Startup/high-growth experience
- Right to work in the EU
Aufgaben
- Transform ML team from research-heavy to production-grade
- Partner with Director of AI on strategy
- Build platform unifying LLM access, RAG, and backend services
- Ship reliable, scalable AI features for banking
- Hire, mentor, and develop high-performing team
- Set technical standards, operating rhythms, and review practices
- Organize sub-teams with clear ownership and SLOs
- Manage roadmap, capacity planning, and delivery
- Own LLM gateway with unified APIs and proxy layers
- Implement rate limits, fallbacks, and cost tracking
- Build high-performance RAG pipelines
- Ensure robust observability and safety guardrails
- Define clean async contracts and eventing patterns
- Drive low-latency, scalable inference
- Lead end-to-end model and prompt lifecycle
- Curate data, train, evaluate, and deploy models
- Establish LLMOps/MLOps practices
- Implement CI/CD, canary/A/B tests, and drift monitoring
- Optimize inference throughput and cost
- Translate company goals into AI/ML roadmap
- Balance exploration with reliability and cost
- Manage build-vs-buy/vendor strategy
- Implement data privacy, security, and compliance
- Track prompt/model lineage and reproducibility
- Define incident response and postmortems
Berufserfahrung
- 10 - 15 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Java
- JVM
- Node.js
- NestJS
- LangChain
- LlamaIndex
- Pinecone
- Qdrant
- FAISS
- AWS Bedrock
- Kubernetes
- Terraform
- vLLM
- TGI
- Triton
- ONNX Runtime
Benefits
Lockere Unternehmenskultur
- International & Inclusive Team
- Modern & Dog-friendly Offices
Mehr Urlaubstage
- 30 vacation days
- Half-day off on Christmas Eve
- Half-day off on New Year's Eve
Flexibles Arbeiten
- Flexible working hours
- Hybrid work
Workation & Sabbatical
- Workation
Gesundheits- & Fitnessangebote
- Urban Sports/EGYM Club subsidy
Öffi Tickets
- 50% monthly subsidy for Deutschlandticket
Firmenfahrrad
- JobRad bicycle leasing
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens neoshare AG 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.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
neoshare AG
Branche
FinancialServices
Beschreibung
Das Unternehmen ist ein internationales Fintech-Unternehmen, das innovative End-to-End-Lösungen für die Digitalisierung und Verwaltung von Projekt- und Immobilienfinanzierungen anbietet.
Noch nicht perfekt?
- Xentral
Head of AI(m/w/x)
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