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Senior Full-Stack Engineer

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Onsite

Senior Full-Stack Engineer

Fractal Analytics

Senior Full-Stack Engineer

Skills

Google Cloud PlatformSQL QueriesNextData EngineeringReactTypescriptPythonPostgreSQLRedisDatabricksAIKubernetesSAP ERPFastAPIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

17 August 2026

What they need


Its fun to work in a company where people truly BELIEVE in what they are doing!

Were committed to bringing passion and customer focus to the business.

About the role

Cogentiq I2C is an enterprise agentic AI platform that runs the order-to-cash cycle for large finance teams, covering collections, cash application, deductions, credit risk, and invoice management. Software agents do the work of chasing payments, matching remittances, and adjudicating claims. Finance teams supervise that work rather than doing it by hand.

We are hiring two senior full-stack engineers to build the web application and the services behind it. The interesting part of the role sits at the boundary between the web application and the agentic layer: showing users what agents are doing while they do it, giving them a way to step in, and making the calls into and out of the orchestration layer reliable. Alongside that, you will help move our ERP integrations from bespoke point-to-point connectors to a reusable pattern that holds up across multiple customers.

This is a hands-on build role with end-to-end ownership, from design conversation through to production support.

What you will do

  • Build the web application in Next.js and TypeScript, including streaming interfaces that render agent output as it is produced and approval flows that let users amend or override agent decisions.
  • Build and maintain FastAPI services: case and workflow APIs, document handling, email and notification paths, and the read models the front end depends on.
  • Own the call path into the agentic orchestration layer, covering authentication, retries, idempotency, and failure surfacing. Silent failure in this path is the defect class we care most about.
  • Build ERP integrations for ingestion and writeback, and help establish a reusable connector pattern in place of one-off implementations.
  • Work against the PostgreSQL consumption layer and the published data contracts from the data engineering pod.
  • Hold a performance budget on what you ship, measured against production data volumes rather than sample data.
  • Participate in production support, root cause analysis, and code review for the areas you own.

What we are looking for

  • Five to eight years building and running production web applications, with real ownership on both the client and the service side.
  • Cloud, required. Hands-on production experience on Azure and GCP, with containers and CI/CD as part of your normal working method. Azure carries most of our workload so depth there matters most, but GCP is a requirement rather than a preference.
  • Strong React and TypeScript, including Next.js App Router and complex client state. You should be comfortable reasoning about state that changes underneath the user.
  • Strong Python, with production FastAPI or an equivalent async framework, and sound API design habits.
  • Experience integrating enterprise or third-party systems over authenticated APIs, including OAuth2 and token-based machine-to-machine flows.
  • Working SQL and relational data modelling.
  • Evidence that you have debugged a hard distributed failure and fixed the cause rather than the symptom.

Useful, not required

  • Building interfaces over LLM or agentic systems, including streaming responses and approval flows.
  • ERP exposure, particularly Dynamics 365 or SAP, or finance domain products in order-to-cash, accounts receivable, or payments.
  • Kubernetes, Azure Databricks, or Redis.
  • Accessibility and design system experience.

Tech you will work with

  • Front end: Next.js, React, TypeScript
  • Services: Python, FastAPI, PostgreSQL, Redis
  • Agentic layer: LLM orchestration and multi-agent workflows
  • Data: Azure Databricks, SQL
  • Cloud and delivery: Azure and GCP, Kubernetes, Azure DevOps
  • Integration: Dynamics 365, SAP, OAuth2

If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us!

Not the right fit Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

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