Lead Architect: Product Engineer

Fractal; Bengaluru; On-site; INR 3,000,000 - 6,500,000; Full time

Job summary

Fractal seeks an experienced engineering leader to own Cogentiq I2C, Fractal's AI-enabled invoice-to-cash product. You will design the platform, lead the team, and write code across front end, service layer, and data tier.

You will shape architecture, implement CI/CD, and ensure performance on Azure Databricks with PostgreSQL, collaborating with AI leads. Ten to fourteen years in software with team leadership are expected.

Qualifications

• Ten to fourteen years building software, with at least three leading a team or a full product build.
• Own technical design for a product, not only implementing someone else's design.
• Deep expertise in at least one tier, and ability to lead across all tiers.
• Strong Python, with production experience in FastAPI or equivalent.
• Experience with modern frontend (React/Next.js) at production level.
• Data engineering depth: Spark and Databricks, SQL, PostgreSQL.

Responsibilities

• Technical design of the engineering side and platform decisions.
• Delivery across front end, service layer, data tier, and infrastructure.
• Define interfaces with the agent runtime and AI lead.
• Maintain code quality: reviews, testing, performance, trade-offs.
• Ensure engineering health: CI/CD, environments, release, incident handling.
• Break roadmap into sprint work and manage estimations.

Skills

Team leadership

Software architecture

Python

FastAPI

React/Next.js

SQL

CI/CD

Testing

Cloud platforms

Data engineering

Tools

Spark

Databricks

Delta Lake

PostgreSQL

Azure

React

Next.js

FastAPI

Job description

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business.

The role

Cogentiq I2C is Fractal's agentic AI Product for invoice-to-cash, covering Collections, Cash Application, Deductions, Invoice Management and Credit Risk. It runs on a Next.js front end, a FastAPI service layer, the Cogentiq agentic runtime, and a data tier on Azure Databricks with PostgreSQL.

The product is led by two engineering leads at the same level. One owns the AI side: agents, models and everything that makes them work. You own the engineering side: the application, the services, the data and the platform they run on. You design it, you lead the team that builds it, and you write code yourself.

What you will own

• Technical design of the engineering side, including the platform decisions that shape what can be built later.
• Delivery across the front end, the service layer, the data tier and the infrastructure they run on.
• The interfaces between your side and the agent runtime, agreed jointly with the AI Lead.
• Technical quality: code review standards, testing, performance, and the trade-offs taken to hit a date.
• Engineering health: CI/CD, environments, release process, technical debt and incident response.
• The engineering plan: breaking the roadmap into sprint work, estimating honestly, and flagging slippage early.

How you will work

• Lead the engineering team. Set standards, coach engineers, and keep the team unblocked.
• Stay in the code. Take the hardest slices yourself and set the patterns others follow.
• Work with product management on feasibility, sequencing and trade-offs, so external commitments are grounded.

What you must have

• Ten to fourteen years building software, with at least three leading a team or a full product build.
• Track record of owning technical design for a product, not only implementing someone else's design.
• Deep expertise in at least one tier, and enough working command of the others to lead, review and debug across all of them.
• Strong Python, and production experience with FastAPI or an equivalent service framework.
• Practical experience of a modern front end, typically React or Next.js, enough to hold the standard even if you are not the primary developer.
• Data engineering depth: Spark and Databricks, Delta Lake, SQL, and sound judgement on what belongs in a lakehouse and what belongs in PostgreSQL.
• Enough understanding of LLM and agentic systems to build the platform they depend on and to hold engineering side of a design.
• Product engineering track record: software built for many clients, not one-off delivery for a single engagement.
• Working engineering discipline: version control, CI/CD, automated testing, environment management, structured incident handling.
• Cloud experience on Azure or equivalent.

Good to have

• Order-to-cash or accounts receivable domain knowledge, and familiarity with SAP FI-AR or an equivalent.
• Enterprise integration experience: ERP connectors, schema drift, reconciliation.
• Multi-tenant platform experience, including access control and tenant separation.

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