Deeplight AI
Technology
FullStackDeveloper
Neural analysis suggests this role is
optimal for Mid-level candidates.
“Full Stack Developer at Deeplight AI. Skills: Full Stack Development, React, TypeScript, AI/ML. Build HITL reviewer queue interface. Incorporate high-resolution document image displays”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
5 years professional full-stack development, Bachelor's degree in Computer Science, Bachelor's degree in Software Engineering, Bachelor's degree in equivalent technical field, Advanced proficiency React, Advanced proficiency TypeScript, Advanced proficiency modern CSS frameworks, Mastery asynchronous data flows, Mastery state synchronization, Competency implementing WebSockets, Competency implementing Server-Sent Events, Ability design structured REST APIs, Ability consume structured REST APIs, Ability construct Backend-for-Frontend layers, Hands-on experience integrating secure identity providers, Hands-on experience integrating authentication protocols, Practical experience working with Docker, Practical experience deploying frontend container workloads, Practical experience managing frontend container workloads, Practical experience within Kubernetes environments, Practical experience within Azure Kubernetes Service
Nice to Have
Familiarity React Native, Familiarity native iOS development, Familiarity native Android development, Experience developing complex overlay layers, Experience developing drawing tools, Experience developing bounding-box annotations, Knowledge configuring Azure Static Web Apps, Knowledge configuring Azure Front Door, Knowledge configuring Content Delivery Networks, Practical understanding rendering live LLM token streams, Conceptual understanding machine learning metrics, Conceptual understanding loss functions, Conceptual understanding probability distributions
What You'll Do.
Build HITL reviewer queue interface
Incorporate high-resolution document image displays
Incorporate extracted field overlays
Incorporate per-field confidence indicators
Incorporate clear exception reasoning
Incorporate optimized keyboard-shortcut workflows
Build real-time operational dashboards
Consume Azure Monitor metrics
Consume Log Analytics data
Track token consumption
Track latency metrics
Establish secure communication
Connect applications to LLM endpoints
Connect applications to Orkes Conductor APIs
Build AWA Use Case Manifest authoring tool
Build Prompt Management System UI
Build ground-truth annotation interfaces
Ensure web interfaces meet accessibility standards
Optimize application performance
Implement graceful error handling
Build unified component library
Build consistent design system
Ensure strict alignment with brand guidelines
How You'll Work.
Team & Collaboration
AI Centre of Excellence; Engineering teams; Operations reviewers; Business analysts; Bank customers
Full 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)
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