MYCPE ONE
Website:
my-cpe.com
Job details:
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).
Click on Apply to know more.
