AI Engineer, Zafin

• 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
• 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
• Experience working with large-scale enterprise datasets and data-driven applications
• Proficiency in Python and/or TypeScript in addition to enterprise software development experience
• Ability to bridge business requirements and technical architecture while effectively communicating with both technical and non-technical stakeholders
• Experience developing technical documentation, user guides, and solution enablement materials
• Full-Stack (front-end, back-end, event streams, database)
• Works well with clients
• Familiarity with various Operating Systems and Databases
• 3 - 7 years of experience with enterprise software development

Desirable

• 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
• 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
• Focused on providing flexible and focused on delivering high-value solutions end-to-end (build, test, deploy, run, maintain, monitor)."
• 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
• Become accustomed to upgrading to new technologies and frameworks
• Collaborate with internal stakeholders, subject matter experts, and customer teams to understand business 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