Summary
Design and deploy enterprise AI agents, improve AI engineering practices, collaborate with customers, and build scalable intelligent systems using modern agent frameworks and generative AI technologies.
Highlights
Opportunity to build enterprise AI agents, shape product direction, collaborate closely with customers, and work on modern generative AI technologies.
Description
Backbase has entered a new era of digital banking with the launch of the world’s first AI-Native Banking OS.
This is not just a platform; it is a fundamental shift in how banks operate.
By unifying digital channels, front-office workspaces, and back-office operations under a single Control Plane, we enable banks to run as one.
Our OS coordinates execution across customers, employees, and AI agents, ensuring every action is authorized, governed, and context-aware.
At Backbase, we are transforming the promise of AI into measurable business impact for over 120 leading financial institutions globally.
What you’ll do:
Build enterprise-grade AI agents: You'll collaborate closely with clients to architect, build, and deploy robust AI agents capable of operating at scale.
Evolve agent development lifecycle: Adapt established software engineering practices to address the unique challenges of AI agents, specifically regarding non-deterministic behaviors, natural language integration, and LLM dependencies.
Accelerate generative agent development: Leverage modern tools like Cursor and Claude Code to speed up agent creation, while exploring the design of harness and self-optimizing systems that improve through real-world usage, user feedback, and self-play loops.
Shape the future of product & platform: Your team’s direct work with customers will guide the evolution of Backbase’s product & platform.
You’ll surface unmet needs, prioritize initiatives, and collaborate with product, and platform teams to shape the future of AI agent development and Backbase’s product & platform.
What you’ll bring:
🚀 Experienced: Minimum 3 years in building agentic applications.
🧠 Technically Strong: Proficient in Python, with 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.
🌟 Startup Mindset: You're 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.
