Backbase
Senior AI Engineer
At our new Business Development Center in Krakow - the heart of Backbase Poland - the best traits of our global and diverse culture come together. Here, our international R&D and Customer Success departments continuously work together to share ideas, remove barriers and strengthen our path forward. As craftspeople, we’ve built an internal culture that’s designed to help you succeed. Together with some of the greatest minds in the business, you’ll have the freedom to experiment and further develop your ideas - becoming an essential part of our business and truly making a difference. Hurry up and find us in the High5ive building in the business center of Krakow, before we make the move to a bigger location due to rapid growth!
As a Senior AI Engineer, you will design, develop, and deploy scalable AI-driven solutions. You won't just be "prompt engineering"; you will be building the underlying infrastructure, agent orchestration layers, and evaluative frameworks that make AI reliable, safe, and impactful in a highly regulated financial environment.
What you'll do
Agentic Orchestration: Design and implement complex agentic workflows and assistant platforms using the LangChain ecosystem.
Advanced Retrieval: Develop and optimize RAG (Retrieval-Augmented Generation) and GraphRAG pipelines to provide agents with deep, contextual domain knowledge.
System Design: Architect scalable, distributed AI services that integrate seamlessly into our existing Kubernetes (K8s) environments.
Agentic Ops (AIOps): Implement robust monitoring, tracing, and evaluation frameworks (LangSmith, LangFuse, Promptfoo) to ensure the reliability and performance of LLM applications.
Skill Integration: Build and manage "Skills" and toolsets for agents, including the implementation of the Model Context Protocol (MCP) for seamless data/tool interaction.
Human-in-the-Loop (HIL): Design sophisticated HIL patterns to ensure high-stakes financial decisions remain governed and accurate.
Mentorship: Provide technical leadership to junior engineers and contribute to the internal AI strategy and best practices.
Who you are
Expertise in LangChain: Deep, hands-on experience with the LangChain ecosystem (LangGraph, LangServe) for building production-grade LLM applications.
Agentic Mastery: Proven track record of building autonomous agents or sophisticated assistant platforms using modern techniques (Tools, Skills, MCP).
AI Infrastructure: Strong knowledge of RAG architectures and emerging GraphRAG methodologies.
Python Proficiency: Expert-level Python skills with a focus on writing clean, maintainable, and asynchronous code.
System Architecture: Demonstrated ability to design and manage scalable, distributed systems within a Kubernetes ecosystem.
Observability & Evaluation: Experience using Agentic Ops platforms like LangFuse, LangSmith, or Promptfoo for debugging and performance tuning.
Strong Pluses
Java Knowledge: Experience with Java is a significant advantage, particularly in integrating AI services with Backbase’s core Java-based backend.
DevOps Culture: Familiarity with CI/CD pipelines, and cloud-native logging/monitoring.
Fintech Experience: Understanding of the security and compliance requirements unique to the banking and financial services industry.
Our Tech Stack
Languages: Python (Primary), Java (Secondary).
Frameworks: LangChain, LangGraph, FastAPI.
Ops/Tools: LangSmith, LangFuse, Promptfoo, MCP.
Deployment: Docker, Kubernetes, AWS/Azure.