R

Senior AI/ML Engineer - Agentic AI and MLOps

Remote
This Job is No Longer Active This position is no longer accepting applications

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.

 

 

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