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.
Summary
Build and deploy enterprise-grade AI agents with banking clients, adapting software engineering practices to non-deterministic behaviors, natural language integration and LLM dependencies. Requires minimum 3 years building agentic applications, proficiency in Python and agentic AI frameworks, retrieval-augmented generation, and knowledge of MCP, A2A and ACP.
Responsibilities
Architect, build and deploy enterprise-grade AI agents with clients; adapt software engineering practices to non-deterministic behaviors, natural language integration and LLM dependencies; accelerate generative agent development; surface customer needs and shape product and platform direction
Qualifications
Minimum 3 years building agentic applications; proficient in Python with hands-on experience in agentic AI frameworks, architectures and design patterns; well-versed in MCP, A2A and ACP; self-starter with a startup mindset; strong communicator and documentation advocate
Experience requirements
Minimum 3 years in building agentic applications