AI Full Stack Engineer

Responsibilities

• 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

• 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.
• 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.

Preferred Qualifications

• The ability to analyse 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

• 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.

About the Company

DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.