Summary
Join an AI engineering team building robust, enterprise-grade intelligent agents. You will design, develop, evaluate, and deploy modular agent systems, apply retrieval and context-engineering techniques, and adapt software engineering practices to non-deterministic AI behavior. The role requires at least one year of experience with agentic applications, strong Python skills, familiarity with modern agent protocols, and a proactive mindset suited to fast-moving product development.
Highlights
Hands-on work building enterprise-scale AI agents, direct customer collaboration, exposure to modern generative AI development tools, and opportunities to influence product and platform direction.
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 1 year 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.
