AI Engineer ll

Zafin•Toronto, ON

1d•Hybrid

About The Position

This is an intermediate position focused 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.

Requirements

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.

Nice To Haves

Domain knowledge of banking, financial services, enterprise data platforms, AI-driven automation, and large-scale enterprise IT environments will be considered a strong asset.

Responsibilities

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.