IQ-Line - AI Engineering Lead

IQ-Line Pvt Ltd

Dadri

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+

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Job summary

IQ-Line Pvt Ltd, based in Dadri, India, is searching for an AI-native engineering leader to drive the adoption of AI-assisted engineering workflows. This hands-on Individual Contributor role requires expertise in building production-grade systems and strong skills in using AI-assisted development tools.

The successful candidate will lead and mentor teams, optimize AI tooling usage for cost efficiency, and contribute directly to architecture and development. Join us to shape AI-native engineering culture and impact healthcare transformation.

Qualifications

  • 6 to 10 years of strong software engineering experience.
  • Proven experience building production-grade systems from scratch.
  • Strong understanding of engineering best practices.

Responsibilities

  • Drive adoption of AI-assisted engineering workflows across teams.
  • Standardize usage of tools like Cursor and GitHub Copilot.
  • Build SOPs/playbooks for effective AI-assisted development.
  • Mentor developers on effective prompting and AI-native workflows.
  • Contribute hands-on to architecture, debugging, and development.

Skills

AI-assisted development tools
Full-stack development
Scalable architectures
Problem-solving skills

Tools

Node.js
TypeScript
React
Next.js
Python
AWS
GCP
Azure
Docker
Kubernetes
PostgreSQL
MongoDB
Redis
CI/CD systems

Job description

About IQ-Line

IQ-Line Pvt Ltd is a HealthTech company building scalable digital healthcare platforms using AI, cloud-native technologies, and modern engineering practices.

Role Summary

We are looking for a highly hands‑on AI-native engineering leader who can drive adoption of Agentic AI coding systems across the engineering organization.

The ideal candidate should have strong practical experience using AI-assisted development tools to develop production‑grade applications, improve engineering productivity, accelerate delivery cycles, optimize AI tooling usage and cost, and establish scalable AI‑native engineering workflows.

This is a strongly hands‑on Individual Contributor (IC) role.

Key Responsibilities
  • Drive adoption of AI‑assisted engineering workflows across teams.
  • Standardize usage of tools like Cursor, Claude Code, Copilot, Windsurf, etc.
  • Build SOPs/playbooks for effective AI‑assisted development.
  • Optimize AI tooling usage for productivity, quality, and cost efficiency.
  • Guide teams on scalable architecture and modular engineering practices.
  • Ensure AI‑generated code follows engineering standards and maintainability principles.
  • Mentor developers on effective prompting, debugging, and AI‑native workflows.
  • Contribute hands‑on to architecture, debugging, and development.
Required Skills & Experience
  • 6 to 10 years of strong software engineering experience.
  • Strong hands‑on full‑stack development expertise.
  • Proven experience building production‑grade systems from scratch.
  • Practical experience using Agentic AI coding systems in real‑world product development.
  • Strong understanding of scalable architectures and engineering best practices.
Technical Expertise
  • Node.js / TypeScript
  • React / Next.js
  • Python
  • APIs & distributed systems
  • AWS / GCP / Azure
  • Docker & Kubernetes
  • PostgreSQL / MongoDB / Redis
  • CI/CD systems
Experience With
  • Cursor
  • Claude Code
  • GitHub Copilot
  • Windsurf
  • OpenAI Codex workflows
  • LangGraph / CrewAI / AutoGen
  • AI‑assisted debugging and refactoring workflows
What We Are Looking For
  • Operationalized AI‑assisted engineering workflows in real teams.
  • Strong understanding of balancing speed, maintainability, architecture, and AI tooling cost.
  • Highly ownership‑driven and execution‑focused mindset.
  • Strong architectural and problem‑solving skills.
Good To Have
  • Experience in HealthTech or enterprise SaaS platforms.
  • Experience building multi‑tenant systems.
  • Exposure to developer productivity engineering.
  • Experience optimizing AI token/API usage costs.
Why Join IQ-Line?
  • Opportunity to shape AI‑native engineering culture from the ground up.
  • Work on impactful healthcare transformation platforms.
  • Build cutting‑edge AI‑assisted engineering workflows.
  • High ownership and direct impact role.
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