AI Engineer

Backbase

Hyderabad, India

On-site

Who this role is best for

A natural match if you have experience building agentic AI systems and working in financial services.

Best fit for

Candidates with 3+ years in agentic AI development and a background in financial technology
— “Minimum 3 years in building agentic applications.”
Professionals skilled in Python and AI-specific design patterns like retrieval-augmented generation
— “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.”
Individuals who thrive in client-facing roles and can shape product direction through feedback
— “Your team’s direct work with customers will guide the evolution of Backbase’s product & platform.”

Things to consider

The role demands a proactive, self-directed approach with high adaptability
— “You're a self-starter—proactive, resourceful, curious, and comfortable moving fast.”
Candidates must be comfortable with non-deterministic behaviors and LLM dependencies
— “Adapt established software engineering practices to address the unique challenges of AI agents, specifically regarding non-deterministic behaviors, natural language integration, and LLM dependencies.”

How to stand out

Highlight modular system design and dynamic context adaptation in your projects
— “You understand how to build modular systems where agents collaborate, reason, and adapt to context dynamically.”
Showcase experience with AI agent development lifecycle management and client collaboration
— “Evolve agent development lifecycle: Adapt established software engineering practices to address the unique challenges of AI agents.”
Demonstrate use of modern AI development tools like Cursor and Claude Code
— “Leverage modern tools like Cursor and Claude Code to speed up agent creation.”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Build enterprise-grade AI agents
Evolve agent development lifecycle
Accelerate generative agent development
Shape the future of product & platform

Typical background

Minimum 3 years in building agentic applicationsProficient in PythonWell-versed in modern AI agent patterns

Skills & requirements

Required

PythonAgentic AI FrameworksAi-searchRetrieval-augmented GenerationContext EngineeringEvaluationGuardrailing

Preferred

LLM DependenciesCursorClaude Code

Stack & domain

PythonAgentic AI FrameworksArchitecting AI AgentsBuilding Modular SystemsContext EngineeringEvaluationGuardrailingKnowledge-baseLLM DependenciesNatural Language IntegrationRetrieval-augmented GenerationLeadershipCommunicationCollaborationDocumentationProblem-solvingSelf-starterResourcefulCuriousProactiveAdaptableTeamworkAIDigital BankingSoftware EngineeringFront-office WorkspacesBack-office OperationsControl PlaneCustomer EngagementProduct DevelopmentPlatform Evolution

About the role

Original posting from Backbase via Greenhouse

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.

Source: Backbase careers (Greenhouse)