Deep Light 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.
The AI Full Stack Engineer is a pivotal role within the Technology Services group, designed to drive digital transformation and innovation in banking. You will be responsible for developing scalable, AI-powered applications and Generative AI (GenAI) solutions that enhance core banking processes and customer digital journeys. By integrating advanced analytics, conversational AI, and cloud-native architectures, you will build secure, modular systems that bridge the gap between complex data requirements and strategic business outcomes.
This role requires a blend of technical mastery in modern frameworks and a deep understanding of banking operations to deliver high-impact enterprise platforms.
As the AI Full Stack Engineer, 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. - Dev Ops & 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.
As an AI consultancy, our greatest asset is the expertise of our people.
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.
If you thrive on the challenge of presenting cutting‑edge solutions as much as you do on building them, you will fit right in.
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/Type Script.
- Expert‑level knowledge of Docker, container registries (ACR), and CI/CD automation.
You should also have the following:
- 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 possess:
- The ability to analyse complex banking products and services to drive innovation and decision‑making.
- Proven ability to translate complex technical/data requirements for…
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