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Location
In office (Noida)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 12, 2026. EXL scores B on the Alion truth index.

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EXL

EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.

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 on the frontend, NET Core 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 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.

Bachelor Degree in relevant field with 3 - 6 years of relevant experience

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