AI Engineer
Backbase Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Backbase. Hyderabad.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and launch enterprise-ready AI agents alongside clients, designed to work reliably at scale
- Adapt software engineering methods for agents that behave unpredictably, use natural language and depend on large language models
- Use Cursor and Claude Code to accelerate agent work, while exploring systems that improve through feedback and self-play
- Take customer needs to product and platform teams, helping identify priorities for future agent-development capabilities
What you bring
- At least three years of experience creating applications built around AI agents
- Strong Python skills and hands-on work with agent frameworks, system designs and established patterns
- Practical knowledge of AI search, knowledge bases, retrieval-augmented generation, context engineering, evaluation and safeguards
- You understand MCP, A2A and ACP patterns and how agents can work together and adapt to context
Who this fits
This role suits a self-directed engineer who is curious, resourceful and comfortable moving quickly. Strong communication, documentation and knowledge sharing matter in the role.
From the employer
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.