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Niche agentic AI and LLMOps specialization reduces applicant density.
Specialized agentic AI and LLMOps experience limits cross-industry transferability.
Explicit 6-year minimum plus specific agentic AI, LLMOps, and tooling requirements.
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Own the development and core shaping of Backbase’s Agentic AI Automation Platform, which automates complex banking workflows.
Build intelligent, context-aware, modular AI agent systems that collaborate and adapt dynamically for enterprise banking applications.
Drive measurable business impact by delivering scalable AI applications that orchestrate agentic workflows for global banks.
Minimum 6 years in software engineering with at least 3 years building and delivering enterprise-grade AI applications.
Proficiency in Python and hands-on experience with Agentic AI frameworks, including AI-search, retrieval-augmented generation, context engineering, and AI guardrailing.
Experience with AI agent patterns such as MCP, A2A, ACP and building modular, collaborative AI systems.
Familiarity with model lifecycle management and AI experimentation tools/platforms such as Azure AI Foundry, HuggingFace, and LangChain.
Experienced in architecting and implementing advanced agent-based AI systems within enterprise or banking domains.
Strong operational focus on building scalable, modular agentic AI applications that automate workflows and generate measurable business outcomes.
Comfortable working in a fast-moving, autonomous startup-like environment prioritizing speed, innovation, and cross-functional collaboration.