This milestone marks a bold step in reshaping the digital banking landscape empowering banks to move beyond generative AI experiments and into full-scale execution. By automating critical operations and amplifying productivity across both front and back offices, Backbase is focused on transforming the promise of AI into measurable business impact.

To drive this vision forward, the Ecosystems department in Backbase is building the Agentic AI Automation Platform a next-generation platform that leverages advanced agent-based architectures to automate and optimize complex banking workflows. We operate with a bold startup mindset prioritizing speed, autonomy, and breakthrough innovation.

What youll do

Backbase has ushered in a new era of digital banking with the global launch of its AI-powered Banking Platform, recently lighting up Times Square. This milestone marks a bold step in reshaping the digital banking landscape
empowering banks to move beyond generative AI experiments and into full-scale execution. By automating critical operations and amplifying productivity across both front and back offices, Backbase is focused on transforming the promise of AI into measurable business impact. To drive this vision forward, the Ecosystems department in Backbase is building the Agentic AI Automation Platform
a next-generation platform that leverages advanced agent-based architectures to automate and optimize complex banking workflows. We operate with a bold startup mindset prioritizing speed, autonomy, and breakthrough innovation.

Who you are

What We re Looking For

We re looking for a Principal AI Engineer with a passion for building intelligent, context-aware agentic systems. You ll help shape the core of our Agentic AI Automation Platform that orchestrates and automates complex agentic workflows to deliver measurable outcomes for global banks.

You should be:

Experienced: Minimum 6 years in software engineering, with 3+ years developing and delivering enterprise-grade AI applications.

Technically Strong: Proficient in Python, with deep hands-on experience in Agentic AI frameworks, architectures, design patterns, knowledge-base, AI-search, retrieval-augmented generation, context engineering, evaluation, and guardrailing.

Agentic Thinker: Well-versed in modern AI agent patterns including MCP, A2A, ACP. You understand how to build modular systems where agents collaborate, reason, and adapt to context dynamically.

MLOps / LLMOps Savvy: You re comfortable with model lifecycle management, prompt versioning, fine tuning, context management, agent monitoring, and AI experimentation using platforms like Azure AI Foundry, HuggingFace, and LangChain.

Startup Mindset: Youre a self-starter proactive, resourceful, curious, and comfortable moving fast.

Excellent Collaborator: Strong communicator and documentation advocate who believes in sharing knowledge and building for scale.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Principal AI Engineer

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