Senior AI/ML Engineer - Agentic AI and MLOps

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AI Summary

Deliver AI and machine-learning solutions end-to-end from problem framing to production across RBI's network banks. Own use cases, design agentic AI systems (LLMs, RAG, MCP) and traditional ML models, and establish MLOps/LLMOps practices. Work with business stakeholders across risk, fraud, operations, and customer analytics to translate requirements into technical solutions.

Key Highlights
Polyvalent engineer bridging deep technical work and business stakeholders
Experience shipping ML/AI systems to production (~5+ years)
Proficiency in Python, SQL, Spark, LangChain, LlamaIndex, MLflow, Docker, CI/CD
Global community with 75+ nationalities, flexible work from Austria
Competitive salary starting at EUR 3,375.40 gross per month
Key Responsibilities
Own use cases end-to-end: problem framing, build, deploy, monitor, iterate
Design and deliver agentic AI solutions (LLM orchestration, RAG, tool integrations) and traditional ML models
Establish MLOps/LLMOps practices: experiment tracking, CI/CD, monitoring, cost management
Run rigorous evaluations: backtesting, A/B testing, drift detection, red teaming
Work with business partners across the bank to define requirements, explain trade-offs, and support adoption
Technical Skills Required
Python SQL Spark LangChain LlamaIndex RAG Prompt Engineering MLflow Docker CI/CD Monitoring Agentic AI LLM Orchestration MCP Agent Frameworks Traditional ML Models
Benefits & Perks
Global community with 75+ nationalities
English as company language
Work permit support
Flexible work week with remote options from Austria
Subsidized canteen
Well-being programs
Sport allowances
Discounts and exclusive banking terms
Public transport pass subsidy
Child allowances
Gender-neutral parental leave
Bilingual company kindergarten
Holiday childcare
Nice to Have
Responsible AI and regulatory awareness (EU AI Act, model risk)
Software engineering foundations: APIs, microservices, containers, testing
Experience with Databricks
Banking domain knowledge

Job Description


Join a team where start-up pace meets the scale of an international banking group.

In this role, you will deliver AI and machine-learning solutions end-to-end—from agentic AI systems (LLMs, RAG, MCP, agent frameworks) to traditional ML models—and bring them into production across our network banks.

This role demands a polyvalent engineer who moves fluidly between deep technical work and direct engagement with business stakeholders across risk, fraud, operations, and customer analytics. You will be the bridge between complex technology and concrete business value.

 

Your mission at RBI:

 

  • Own use cases end-to-end: problem framing, build, deploy, monitor, iterate.
  • Design and deliver both agentic AI solutions (LLM orchestration, RAG, tool integrations) and traditional ML models.
  • Establish MLOps/LLMOps practices: experiment tracking, CI/CD, monitoring, cost management.
  • Run rigorous evaluations: backtesting, A/B testing, drift detection, red teaming.
  • Work with business partners across the bank to define requirements, explain trade-offs, and support adoption.

 


 

Your core competencies:

 

  • Experience shipping ML/AI systems to production (typically gained over ~5+ years). Financial services experience is a plus.
  • Proficiency in Python and SQL; experience using Spark for data processing.
  • Hands-on experience with both GenAI/agentic AI (LangChain, LlamaIndex, or similar; RAG; prompt engineering) and classical ML.
  • MLOps fundamentals: MLflow, Docker, CI/CD, monitoring.
  • The ability and willingness to engage a wide range of non-technical stakeholders: translating business problems into technical approaches, aligning on requirements, and communicating decisions and trade-offs. Fluent English required; German is an advantage.

 

Nice to Have:

 

  • Responsible AI and regulatory awareness (EU AI Act, model risk).
  • Software engineering foundations: APIs, microservices, containers, testing.
  • Experience with Databricks.
  • Banking domain knowledge.

 


 

What's in it for you:

 

  • Global community: 75+ nationalities, English as the company language, and work permit support. Find out more about international applications here.  
  • Career growth: We believe in continuous learning and proactive career development. Take on challenging work that stretches your abilities, attend trainings, and use new technologies to make a lasting impact.
  • Flexible work week: Flexible hours and work-from-home options from Austria
  • Stay healthy: Subsidized canteen, well-being programs, check-ups, and sport allowances.
  • Save money: Discounts, exclusive banking terms, and a heavily subsidized public transport pass.
  • Family support: Child allowances, gender-neutral parental leave, bilingual company kindergarten, and holiday childcare.
  • Competitive salary: In accordance with Austrian legal requirements, the minimum salary for this position is EUR 3.375,40 gross per month under the applicable Banking Collective Agreement. The actual salary is typically higher and will be determined individually based on your qualifications, professional experience, and the specific requirements of the role. We are happy to discuss the details in person.

 


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