Job Description

Fullstack Engineer — Agentic Finance Solution

Job Title: Fullstack Engineer — Agentic Platform

Location: India

Experience: 5–6 Years

Band: B2

Tech Stack: AngularJS v20+ · .NET Core v8+ · Python · EKS · PostgreSQL · Temporal.io · Azure Event Grid · Azure Service Bus · Azure Data Factory · Azure Databricks · Logic Apps · Azure Blob Storage

Job Summary

We are looking for a skilled Fullstack Engineer to join our Digital and AI Solutions Engineering team, focused on building the user-facing layer and supporting backend APIs of a next-generation agentic platform for Finance and Accounting operations. You will design and deliver the interfaces and services that make complex AI-driven workflows accessible and actionable for human users — including human-in-the-loop worklists, exception management dashboards, tenant configuration tools, visual field mappers, and platform reporting.

This role sits at the intersection of enterprise UX and platform engineering. The screens you build are not cosmetic — they are where human reviewers approve payments, resolve invoice exceptions, configure ERP connectors, and track STP performance across clients. You will work in AngularJS v20+ on the frontend, NET Core v8+ and Python for backend APIs and services, and PostgreSQL for data storage, with containerised workloads deployed on EKS. You will also work with Temporal.io for workflow orchestration and Azure services such as Event Grid, Service Bus, Data Factory, Databricks, Logic Apps, and Blob Storage. You will collaborate closely with AI engineers, backend platform engineers, and finance domain SMEs to deliver a product that is both technically solid and genuinely usable by finance operations teams.

Key Responsibilities

• Build and maintain the Human-in-the-Loop (HITL) worklist UI — enabling finance reviewers to view queued tasks, inspect AI recommendations with supporting context, take approval or rejection decisions, add notes, and trigger escalations.

• Develop the exception management dashboard — displaying real-time exception queues by type, aging bucket, and priority, with drill-down into individual exception detail, resolution history, and lifecycle status.

• Design and implement RESTful APIs and supporting services in NET Core v8+ and Python that serve the frontend, connecting UI interactions to the underlying platform services — orchestration, exception routing, approval workflows, audit trail, and notifications.

• Design PostgreSQL schemas, data models, and access patterns for workflow state, tenant configuration, exception lifecycle records, audit events, and reporting needs.

• Implement real-time UI updates using WebSockets or Server-Sent Events (SSE) to keep worklists, exception queues, and workflow status indicators live without full-page refreshes.

• Integrate with enterprise authentication and role-based access control patterns — ensuring that tenant isolation, approver role restrictions, and audit trail requirements are enforced at the API layer.

• Collaborate with AI and backend engineers to surface LLM-generated recommendations, confidence scores, and agent reasoning in the UI in a way that helps human reviewers make faster, better-informed decisions.

• Ensure frontend observability — client-side error tracking, performance monitoring, and usage analytics — to support continuous improvement of the user experience across clients.

Required Skills

• 5+ years of full stack engineering experience with strong proficiency in AngularJS v20+, .NET Core v8+, and Python.

• Strong TypeScript skills for AngularJS-based frontend development, with solid backend engineering experience in .NET and Python.

• Hands-on experience with EKS, PostgreSQL, Temporal.io, and Azure services including Event Grid, Service Bus, Data Factory, Databricks, Logic Apps, and Blob Storage.

• Experience building and consuming RESTful APIs — including API design, versioning, error handling, and pagination.

• Proficiency with AngularJS application architecture and state management patterns, including NgRx or equivalent approaches for complex enterprise UIs.

• Experience building form-heavy, data-intensive enterprise UIs — multi-step forms, configurable tables, inline editing, and complex validation.

• Understanding of authentication and authorisation patterns — OAuth 2.0, JWT, session management, and role-based access control.

• Strong grasp of web performance fundamentals — lazy loading, code splitting, caching strategies, and optimistic UI updates.

• Experience building approval workflow or task management UIs where human decisions are a core interaction pattern — not just CRUD screens.

Preferred Qualifications

• Solid experience with PostgreSQL — schema design, indexing, query optimisation, transactional data modelling, and performance tuning for high-throughput application workloads.

• Experience with data visualisation libraries (Recharts, Chart.js, D3, Highcharts, or Angular equivalents) for building operational dashboards with filtering and drill-down.

• Experience with CI/CD pipelines and containerised deployments using Docker and Kubernetes/EKS.

• Prior experience building UIs for Finance and Accounting operations — invoice processing, payments, reconciliation, or similar workflows.

• Exposure to drag-and-drop or visual mapping interfaces — field mappers, flow builders, or rule configurators — relevant to the integration layer configuration UI.

• Familiarity with audit trail and compliance requirements in regulated environments — understanding how user actions in the UI must be logged and traceable.

• Experience integrating frontend applications with LLM or AI services — surfacing model outputs, confidence indicators, and explanations in a user-friendly way.

• Knowledge of accessibility standards (WCAG 2.1) for enterprise application UIs.

• Familiarity with micro-frontend architecture for large-scale platform applications.

• Experience integrating applications with Azure-native services such as Event Grid, Service Bus, Data Factory, Databricks, Logic Apps, and Blob Storage.

• Understanding of Finance and Accounting KPIs — STP rate, first-pass match rate, exception aging — and how operational teams use these metrics to manage performance.