Tech Co-Founder

Department Icon IT / Software Development & Related
102+ Applicants
Posted: 1 year ago
0-1 years
Bengaluru / Bangalore, Karnataka
Work from Office

Posted: 1 year ago
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Applicants: 102+
Job Description
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Job Description

Role Overview

As Tech Cofounder, you will:

  • Own the end-to-end technology strategy, architecture, and execution.
  • Scale the engineering team from 10 to 20+ while managing outsourced DevOps.
  • Embed AI/LLMs into compliance, data processing, and analytics workflows.
  • Ensure systems meet regulatory standards both Indian and global.

Core Responsibilities

Technical Leadership

  • Architect high-volume ETL pipelines for data reconciliation.
  • Design LLM-driven solutions for document parsing (invoices, receipts), followups and compliance checks.
  • Build multi-tenant SaaS systems adaptable to global regulations (e.g., GDPR, VAT).

AI & Compliance

  • Deploy LLMs (GPT-4, Claude) with RAG for context-aware compliance.
  • Implement real-time analytics dashboards with natural language querying.

Team & Vendor Management

  • Hire and mentor engineers with expertise in AI, distributed systems, and fintech.
  • Manage outsourced DevOps vendors, ensuring uptime, security, and cost efficiency.
  • Establish engineering processes (CI/CD, code reviews, agile sprints).

Strategic Growth

  • Collaborate with founders on product roadmaps, fundraising, and global expansion.
  • Leverage data network effects to create platform stickiness.

How We Assess YouTechnical Evaluation

Coding Test:

  • Optimize a reconciliation algorithm for 1M+ records using Python/Java.
  • Design a scalable ETL pipeline with error handling for partial failures.

System Design:

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  • Architect a multi-tenant compliance system with LLM-powered anomaly detection.
  • Propose a vendor management strategy for outsourced DevOps (cost vs. quality).

LLM Use Case:

  • Fine-tune an open-source model (e.g., Llama 3) to extract HSN codes from invoices.

Interview Focus Areas

  • Founder Mindset: How you pivoted in past startups, handled failures, or scaled teams.
  • Compliance Depth: Certifications like SOC-2, ISO, GDPR from technical standpoint.
  • AI Trade-offs: Cost/accuracy of fine-tuning vs. RAG for compliance automation.

Good to have -

  • Context of GST ecosystem, GSPs etc.

Skills

PythonEtlData ProcessingAnalyticsAi

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Important dates & deadlines?

Application Deadline

14 Jun 25, 01:45 PM IST

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