Technical Project Manager

About the Role

We are embedding AI across our entire product ecosystem, and this role will lead that

transformation.

As an Engineering Lead – AI Full-Stack, you will lead the engineering team responsible for

building AI-powered capabilities into production applications. This is a highly hands-on

technical leadership role where you will architect systems, write production code, mentor

senior engineers, review designs, and ensure high-quality software delivery.

You will work across the complete technology stack—from frontend interfaces and backend

services to AI orchestration layers and LLM-powered applications.

You will initially lead development across the myCPE platform, internal admin applications,

and customer-facing web products.

Key Responsibilities

Engineering Leadership

• Lead and mentor a team of 5–8 software engineers, including senior developers and

technical leads.

• Establish engineering standards, coding guidelines, and architectural best practices.
• Conduct code reviews and design reviews while ensuring production quality.
• Grow the engineering team into AI-capable full-stack developers.
• Drive technical decision-making and software architecture.

Full-Stack Development

Design, build, and maintain production-grade applications by developing:

• Database schemas
• Backend APIs
• Frontend applications
• AI orchestration layers
• Third-party integrations

Own features from concept to deployment.

AI Product Development

Build intelligent product capabilities including:

• Retrieval-Augmented Generation (RAG)
• AI Assistants & Agents
• Tool-use workflows
• Conversational AI
• Document extraction and generation
• Semantic search
• Content recommendation
• Classification pipelines
• Workflow automation using LLMs

AI Quality & Reliability

Own the quality of AI systems by improving:

• Retrieval accuracy
• Hallucination reduction
• Prompt engineering
• AI evaluation frameworks
• Cost optimization
• Response latency
• Production monitoring
• Regression testing

Cross-functional Collaboration

• Translate business requirements into scalable technical solutions.
• Work closely with Product Managers, Designers, Business Teams, and Leadership.
• Help stakeholders identify where AI creates real business value—and where it does

not.

Technology Stack

Frontend

• Vue.js
• Blade
• Bootstrap
• JavaScript
• jQuery
• Laravel Mix

Backend

• PHP 8.3
• Laravel 10 (Primary)
• Python (AI Services)
• CodeIgniter (Legacy CRM)

Required Qualifications

• 7+ years of experience building and shipping production software.
• Proven experience owning full-stack applications from frontend through backend.
• 3+ years leading engineering teams as an Engineering Manager, Technical Lead, or equivalent.
• Experience leading teams of software engineers with accountability for delivery and technical quality.
• Hands-on experience shipping LLM-powered features to production.
• Strong understanding of:
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• AI Agents
• Tool-use workflows
• Vector databases

 Ability to explain:

• Retrieval architecture
• AI quality evaluation
• Hallucination control
• Production cost considerations
• Strong SQL and relational database design skills.
• Expertise in API design and scalable software architecture.
• Strong analytical and problem-solving skills.
• Excellent spoken and written English.
• Based in Ahmedabad or willing to relocate.

Preferred Qualifications:

• Experience with PHP/Laravel, or the ability to quickly adapt to new frameworks.
• Experience building Agentic AI workflows and multi-step LLM applications.
• Experience implementing AI evaluation and observability, including:
• Golden datasets
• Regression testing
• Drift detection
• AI monitoring
• Product company experience with long-term ownership of systems.
• Exposure to accounting, tax, audit, finance, or professional education products.

What Is Not Required

You do not need:

 A Master's degree or PhD.

 Experience training or fine-tuning language models.

 Machine Learning research experience.

 Prior experience with our exact technology stack.

This Role Is Not

 A Data Science or Machine Learning Research role.

 A Backend-only engineering position.

 A Pure AI Infrastructure role.

 A Management-only position—you will contribute production code regularly.

 A Remote or Hybrid role. This is a full-time, Work From Office position based in Ahmedabad.

Application Requirements

Please include the following with your application:

1. Describe one AI feature you have shipped to production:

 What problem did it solve?

 How did the retrieval or agent layer work?

 How did you measure its performance?

2. Share details about the largest engineering team you have led, including your responsibilities.

3. Include a GitHub repository, portfolio, demo, or any publicly available project link (if applicable).