About the Role
The Backend Engineer role is pivotal within the Technology Services group, aimed at driving digital transformation and innovation in banking. As a Backend Engineer, you will be responsible for developing scalable, AI-powered applications and Generative AI (GenAI) solutions that enhance core banking processes and customer digital journeys. Your role will involve integrating advanced analytics, conversational AI, and cloud-native architectures to build secure, modular systems that bridge the gap between complex data requirements and strategic business outcomes. A blend of technical mastery in modern frameworks and a deep understanding of banking operations is essential for delivering high-impact enterprise platforms.
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Responsibilities
Your responsibilities will include:
- Application Development: Design, build, and deploy full-stack, AI-powered web applications using microservices and RESTful APIs.
- GenAI Integration: Implement Generative AI engineering principles, including Retrieval-Augmented Generation (RAG) and agentic workflows, into enterprise-grade digital platforms.
- Architecture & Design: Create modular, scalable architectures and establish documentation standards and reusable templates for AI projects.
- Data Engineering: Design and implement robust data pipelines, pre-processing workflows, and governance frameworks to handle large, complex datasets.
- DevOps & Deployment: Manage containerization (Docker) and CI/CD pipelines to ensure automated, secure, and scalable deployments.
- Collaboration: Act as an "analytics translator" between business units and IT, coordinating with UI/UX teams, Data Scientists, and AI Engineers to align technical builds with business growth.
- Compliance & Standards: Adhere to all organizational policies, service standards, and procedural instructions to ensure consistent, high-quality delivery.
Requirements
The key requirements for this role are:
- Proficiency in back-end frameworks (FastAPI, Flask, or Node.js) and front-end frameworks (React.js, Angular, or Vue.js).
- Strong grasp of GenAI engineering, LLM integration (Azure OpenAI), and RAG workflows.
- Hands-on experience with Azure or AWS ecosystems, including serverless deployments (Azure Functions/AWS Lambda) and cloud storage (S3, Blobs).
- Advanced coding skills in Python and JavaScript/TypeScript.
- Expert-level knowledge of Docker, container registries (ACR), and CI/CD automation.
You should also have:
- A Bachelor’s degree in a quantitative field such as Computer Science, Software Engineering, or a related discipline.
- A minimum of 5+ years in professional software development.
- Proven track record in building scalable, secure web applications and integrating AI models within a cloud-native environment (Azure preferred).
- Advanced knowledge of banking operations, terminologies, and financial services products.
It would be preferable if you also have:
- The ability to analyze complex banking products and services to drive innovation and decision-making.
- Proven ability to translate complex technical/data requirements for non-technical internal stakeholders.
- The capacity to manage and motivate team members to contribute to change initiatives and continuous improvement.
- The ability to work effectively in an ad-hoc, fast-paced environment across different functional teams.
Benefits
Benefits & Growth Opportunities:
- Competitive salary.
- Visa Sponsorship for the successful individual.
- Comprehensive health insurance for the successful individual.
- Professional development and certification support.
- Opportunity to work on cutting-edge AI projects.
- Career advancement opportunities in a rapidly growing AI company.
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving the company's success in delivering transformative AI solutions to clients.
At our organization, we recognize that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialized AI and data solutions. We aim to ensure our application and interview process is accessible, predictable, and fair for all candidates. If you require any specific adjustments to the application process or reasonable adjustments should you be successful in the interview stage, please let us know. This information will be kept strictly confidential and will not impact hiring decisions.
