Applied AI Engineer - Finance Super App
Job Description
About the Role
This Applied AI Engineer role is focused on building practical AI-powered solutions that transform how financial services are delivered and experienced. You will design and implement AI-native systems that automate workflows, improve operational efficiency, and create smarter user experiences.
Key Responsibilities
- Design and develop AI-powered systems that improve financial products, internal operations, and customer experiences.
- Turn business challenges into scalable AI solutions while ensuring reliability, quality, and measurable outcomes.
- Build AI-powered workflows, assistants, agents, and automation systems for real-world business applications.
- Apply AI solutions across areas such as customer support, CRM, onboarding, payments, operations, and internal tools.
- Partner with product and engineering teams to transform manual processes into scalable AI-driven workflows.
- Develop integrations between LLMs, internal data sources, APIs, documents, knowledge bases, and business systems.
- Design evaluation frameworks, monitoring processes, and fallback strategies to ensure AI outputs are accurate, safe, and reliable.
Skills & Qualifications
- Strong software engineering foundation with experience in backend development, preferably using Python.
- Hands-on experience building applications with LLM APIs, AI agents, Retrieval-Augmented Generation (RAG), workflow automation, or related AI technologies.
- Experience integrating AI systems with products, databases, APIs, and operational workflows.
- Understanding of AI evaluation principles, including accuracy, latency, cost optimization, privacy, and failure management.
- Ability to identify appropriate use cases for AI while understanding its limitations.
- Experience building, testing, and deploying practical AI solutions in production environments.
- Strong English communication skills, both written and verbal, for collaboration with global teams.
- Ability to work effectively with product, engineering, and business stakeholders.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
What You'll Learn
In this role, you will gain hands-on experience building practical AI-powered solutions that transform how financial services are delivered and experienced. You will learn to design and implement AI-native systems that automate workflows, improve operational efficiency, and create smarter user experiences.
Resume Tip
When applying for this role, make sure to highlight your hands-on experience building AI applications and your ability to connect emerging technologies with real operational needs. Use specific examples to demonstrate your skills in AI evaluation principles, LLM APIs, and workflow automation.
Skills Required
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