SeniorAIEngineer

Backbase is on a mission to help banks re-architect around the customer and embrace the era of Engagement Banking. We are looking for a Senior AI Engineer to join our AI 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. Key Responsibilities 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. Technical Requirements 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 ma