Join the Advanced Analytics & AI Tribe at RBI Group, where the innovation of a start-up meets the stability of an established financial institution. We are seeking a senior data scientist to design and deliver agentic AI solutions in our use case teams, leveraging MCP and modern agent frameworks to solve high-impact problems across our network banks. If you are passionate about building agentic AI systems-combining LLMs, RAG, and MCP-enabled tool integrations-and turning complex business problems into reliable, production-grade solutions, this role is for you. 

 

Your mission at RBI: 

* End-to-end ownership of ML/AI/agentic use cases: framing to production. 
* Implement MCP and orchestrate LLMs/tools with agent frameworks (LangChain, LlamaIndex, Semantic Kernel, OpenAI Assistants), including function calling, fallbacks, and guardrails.
* Build and optimize RAG; evaluate for precision/recall and latency.
* Establish LLMOps/MLOps (experiments, versioning, CI/CD, registries, monitoring, incident response) and ensure reliability, safety, and compliance (prompt-injection defenses, content filtering, policy, red teaming, quality gates).
* Run rigorous offline/online evaluations (backtests, time-series CV, A/B, shadow/canary), monitor drift/impact, and optimize performance/cost (latency, throughput, rate limits, batching, streaming, caching) with usage/cost dashboards.
* Interact with Business Partner to Define requirements.

 

Your core competencies:
* 5+ years delivering ML/AI systems in production; experience in financial services is an asset.
* Expert Python skills; SQL/PySpark; Spark/Databricks and expertise in DS/ML/LLM.
* Practical experience with GenAI models and pipelines and agentic AI (architectures, planning, memory, tool use, multi-agent orchestration).
* Hands-on with agent frameworks and tooling (LangChain, LlamaIndex, CrewAI or similar), prompt engineering, function/tool calling, and evaluation harnesses.
* RAG expertise: embeddings, vector stores, retrieval, and evaluation approaches.
* LLMOps / MLOps experience: MLflow or similar, feature stores, data/prompt versioning, CI/CD (GitHub Actions, Jenkins), Docker, orchestration tools (Airflow, Prefect).
* Experience designing evaluation and validation frameworks: backtesting, out-of-sample testing, A/B, drift detection.
* Ability to translate business requirements into production-grade technical solutions and to manage stakeholder relationships; fluent English required, German is an advantage.

 

Nice to Have:
* Knowledge of Responsible AI and regulatory frameworks (EU AI Act, model risk, data privacy).
* Banking domain familiarity (risk, fraud, customer analytics, operations) and cost/benefit tracking.
* Software and data engineering foundations: APIs (REST/gRPC), microservices, testing, logging and tracing.
* Experience with containers and orchestration (Docker, Kubernetes).

 

What?s in it for you:
* Flexible work week: Flexible hours, work-from-home options from Austria, and 30 days/year remote work from any EU country.
* Global community: 75+ nationalities, English as the company language, and work permit support. 
* 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.
* 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: Starting at EUR 67.400 gross p.a. including overtime, with market-compliant overpayment based on experience and qualifications. We are happy to discuss your actual salary in person.

 Apply now!https://ams.at/su/5HRI8