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Full Stack Developer

9 hours ago 2026/10/10
Other Business Support Services
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Job description

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.
At DeepLight, we don't believe in "off-the-shelf" fixes.
We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure.
From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.
The Full Stack Developer builds the human-facing surfaces of the Agentic Workflow Automation (AWA) platform—specifically the Human-in-the-Loop (HITL) reviewer interface, the AgentOps operational dashboard, and internal AWA developer portals.
Operating within the AI Centre of Excellence (AICoE) at a Band 7 / Mid-level capacity, this position works directly at the boundary between complex AI pipelines and end-users (including operations reviewers, business analysts, bank customers, and engineering teams).
The role translates complex agent states, confidence scores, and exception data into high-performance, intuitive user interfaces that enable fast, informed human decisions.
Responsibilities HITL Reviewer Interface: Design and build the operations reviewer queue interface, incorporating high-resolution native document image displays, extracted field overlays with per-field confidence indicators, clear exception reasoning, and optimized keyboard-shortcut workflows.
AgentOps Dashboard: Build and maintain real-time operational dashboards that consume Azure Monitor metrics and Log Analytics data to track STP (Straight-Through Processing) rates, HITL rates, token consumption, and latency metrics (P50/P95/P99).
System & API Integration: Establish secure communication between AI core services and core banking apps via the AWA Conversation Orchestrator backend API.
Connect applications to APIM-governed LLM endpoints and Orkes Conductor job status APIs.
Internal Tooling & Portals: Build and maintain the AWA Use Case Manifest authoring tool, the Prompt Management System (PMS) UI, and ground-truth annotation interfaces used by the operations team for test data preparation.
Performance & Accessibility Optimization: Ensure all web interfaces meet institutional accessibility standards, optimize application performance for lower-bandwidth branch locations, and implement graceful error handling for AI pipeline latency.
Design System Maintenance: Build and maintain a unified, consistent AWA component library and design system across all interfaces, ensuring strict alignment with corporate brand guidelines.
The benefits you'll enjoy as part of this role include: Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individual Professional development and certification support Subscription reimbursement relating to your role Opportunity to work on cutting-edge AI projects Monthly Employee Incentive program 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 our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise 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 specialised AI and data solutions.
Our goal is 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 if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know.
This information will be kept strictly confidential and will not impact hiring decisions.
We need you to have: An a dvanced proficiency in building highly responsive web applications using React, TypeScript, and modern CSS frameworks .
Mastery of complex asynchronous data flows and state synchronization using tools like Redux, Zustand, or React Query.
A strong capability to build interactive, performance-optimized operational dashboards using charting libraries such as Recharts or D3.
js. Be competency in implementing WebSockets or Server-Sent Events (SSE) for streaming updates and live data synchronization.
The a bility to design and consume structured REST APIs and construct Backend-for-Frontend (BFF) layers using Node.
js or Python (FastAPI/Express).
A minimum of 5 years of professional full-stack software development experience, with a clear focus on enterprise web applications.
Hands-on experience integrating secure identity providers and authentication protocols, specifically OAuth2, OIDC, and Microsoft Entra ID.
Practical experience working with Docker and deploying/managing frontend container workloads within Kubernetes environments (specifically Azure Kubernetes Service - AKS).
Holder of a Bachelor's degree in Computer Science, Software Engineering, or an equivalent technical field.
It would also be great if you have: Familiarity with React Native or native iOS/Android development to facilitate mobile banking application integrations.
Experience developing complex overlay layers, drawing tools, and bounding-box annotations on high-resolution canvas scans.
Knowledge of configuring Azure Static Web Apps, Azure Front Door, and Content Delivery Networks (CDNs).
A practical understanding of rendering live LLM token streams smoothly within conversational or chat interfaces.
A conceptual understanding of machine learning metrics, loss functions, and probability distributions to improve data visualization designs.
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