AI Engineer ll

The world’s top banks use Zafin’s integrated platform to drive transformative customer value. Powered by an innovative AI-powered architecture, Zafin’s platform seamlessly unifies data from across the enterprise to accelerate product and pricing innovation, automate deal management and billing, and create personalized customer offerings that drive expansion and loyalty. Zafin empowers banks to drive sustainable growth, strengthen their market position, and define the future of banking centered around customer value.

What’s the Opportunity? This is an intermediate position is focuses on designing, developing, deploying, and supporting cutting edge AI-powered software solutions within the Banking and fintech domains, including Pricing Billing. The successful incumbent will combine strong software engineering, AI/LLM expertise, data engineering capabilities, and customer engagement skills to deliver scalable, enterprise-grade solutions that create measurable business value for global financial institutions What Will You Do?

Works alongside senior AI Engineers to understand and develop the current application adhering to software development life cycle, from concept and design to testing Participates in rapid experimentation, testing, and continuous iteration post-launch to ensure the solution meets its targets and delivers a compelling experience to ensure adoption and sustained usage. " Build and maintain AI-powered workflows, conversational experiences, intelligent search capabilities, and automation solutions leveraging enterprise AI platforms. Design, develop, and optimize data pipelines that support AI applications and enable effective use of structured and unstructured enterprise data.

Utilize Python, Java, and modern development frameworks to deliver production-ready AI and software solutions. Write well designed testable, efficient code by utilizing automation, AI, or through manual means where necessary Write unit test cases to validate test developed code by utilizing automation, AI, or through manual means where necessary Review code and debugging using applicable methods and tools Create technical documentation, implementation guides, and operational runbooks to support solution adoption and long-term success. Analyze and understand existing code application of the existing design to customize changes Participate in customer workshops, technical discussions, solution demonstrations, and knowledge transfer sessions Providing high end customer solutions for client raised tickets Analyze complex business and technical problems, identify root causes, and implement innovative solutions that drive operational outcomes.

Requirements

and translate them into scalable technical solutions. Work with SME’s on specific areas of Software development Multitask and manage your own deliverables of varying and progressing complexity as part of a team with senior guidance What Do You Need to Succeed? Must Haves Comp Sci, Comp Eng, Engineering, or other technical field or equivalent experience Possess intermediate experience in building, deploying, and maintaining complex conversational solutions, search solutions, and other AI-based automation while having intuitive/engaging experiences for the user.

Fluency with production AI SaaS APIs from OpenAI, Microsoft Azure, and open-source LLM models Ability to develop, design and implement the code independently with minimal guidance Fluency in AI services’ API offerings Knowledge of LLM fundamentals and evolution Strong understanding of data engineering principles, enterprise data architecture, and integration patterns.